-
Notifications
You must be signed in to change notification settings - Fork 0
/
index.xml
1563 lines (1471 loc) · 94.7 KB
/
index.xml
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
278
279
280
281
282
283
284
285
286
287
288
289
290
291
292
293
294
295
296
297
298
299
300
301
302
303
304
305
306
307
308
309
310
311
312
313
314
315
316
317
318
319
320
321
322
323
324
325
326
327
328
329
330
331
332
333
334
335
336
337
338
339
340
341
342
343
344
345
346
347
348
349
350
351
352
353
354
355
356
357
358
359
360
361
362
363
364
365
366
367
368
369
370
371
372
373
374
375
376
377
378
379
380
381
382
383
384
385
386
387
388
389
390
391
392
393
394
395
396
397
398
399
400
401
402
403
404
405
406
407
408
409
410
411
412
413
414
415
416
417
418
419
420
421
422
423
424
425
426
427
428
429
430
431
432
433
434
435
436
437
438
439
440
441
442
443
444
445
446
447
448
449
450
451
452
453
454
455
456
457
458
459
460
461
462
463
464
465
466
467
468
469
470
471
472
473
474
475
476
477
478
479
480
481
482
483
484
485
486
487
488
489
490
491
492
493
494
495
496
497
498
499
500
501
502
503
504
505
506
507
508
509
510
511
512
513
514
515
516
517
518
519
520
521
522
523
524
525
526
527
528
529
530
531
532
533
534
535
536
537
538
539
540
541
542
543
544
545
546
547
548
549
550
551
552
553
554
555
556
557
558
559
560
561
562
563
564
565
566
567
568
569
570
571
572
573
574
575
576
577
578
579
580
581
582
583
584
585
586
587
588
589
590
591
592
593
594
595
596
597
598
599
600
601
602
603
604
605
606
607
608
609
610
611
612
613
614
615
616
617
618
619
620
621
622
623
624
625
626
627
628
629
630
631
632
633
634
635
636
637
638
639
640
641
642
643
644
645
646
647
648
649
650
651
652
653
654
655
656
657
658
659
660
661
662
663
664
665
666
667
668
669
670
671
672
673
674
675
676
677
678
679
680
681
682
683
684
685
686
687
688
689
690
691
692
693
694
695
696
697
698
699
700
701
702
703
704
705
706
707
708
709
710
711
712
713
714
715
716
717
718
719
720
721
722
723
724
725
726
727
728
729
730
731
732
733
734
735
736
737
738
739
740
741
742
743
744
745
746
747
748
749
750
751
752
753
754
755
756
757
758
759
760
761
762
763
764
765
766
767
768
769
770
771
772
773
774
775
776
777
778
779
780
781
782
783
784
785
786
787
788
789
790
791
792
793
794
795
796
797
798
799
800
801
802
803
804
805
806
807
808
809
810
811
812
813
814
815
816
817
818
819
820
821
822
823
824
825
826
827
828
829
830
831
832
833
834
835
836
837
838
839
840
841
842
843
844
845
846
847
848
849
850
851
852
853
854
855
856
857
858
859
860
861
862
863
864
865
866
867
868
869
870
871
872
873
874
875
876
877
878
879
880
881
882
883
884
885
886
887
888
889
890
891
892
893
894
895
896
897
898
899
900
901
902
903
904
905
906
907
908
909
910
911
912
913
914
915
916
917
918
919
920
921
922
923
924
925
926
927
928
929
930
931
932
933
934
935
936
937
938
939
940
941
942
943
944
945
946
947
948
949
950
951
952
953
954
955
956
957
958
959
960
961
962
963
964
965
966
967
968
969
970
971
972
973
974
975
976
977
978
979
980
981
982
983
984
985
986
987
988
989
990
991
992
993
994
995
996
997
998
999
1000
<?xml version="1.0" encoding="utf-8" standalone="yes" ?>
<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom">
<channel>
<title>Hate Alert</title>
<link>/</link>
<atom:link href="/index.xml" rel="self" type="application/rss+xml" />
<description>Hate Alert</description>
<generator>Source Themes Academic (https://sourcethemes.com/academic/)</generator><language>en-us</language><copyright>©2020</copyright><lastBuildDate>Sat, 15 Jul 2023 00:00:00 +0000</lastBuildDate>
<image>
<url>/img/logo.png</url>
<title>Hate Alert</title>
<link>/</link>
</image>
<item>
<title>Example Page 1</title>
<link>/courses/example/example1/</link>
<pubDate>Sun, 05 May 2019 00:00:00 +0100</pubDate>
<guid>/courses/example/example1/</guid>
<description><p>In this tutorial, I&rsquo;ll share my top 10 tips for getting started with Academic:</p>
<h2 id="tip-1">Tip 1</h2>
<p>Lorem ipsum dolor sit amet, consectetur adipiscing elit. Duis posuere tellus ac convallis placerat. Proin tincidunt magna sed ex sollicitudin condimentum. Sed ac faucibus dolor, scelerisque sollicitudin nisi. Cras purus urna, suscipit quis sapien eu, pulvinar tempor diam. Quisque risus orci, mollis id ante sit amet, gravida egestas nisl. Sed ac tempus magna. Proin in dui enim. Donec condimentum, sem id dapibus fringilla, tellus enim condimentum arcu, nec volutpat est felis vel metus. Vestibulum sit amet erat at nulla eleifend gravida.</p>
<p>Nullam vel molestie justo. Curabitur vitae efficitur leo. In hac habitasse platea dictumst. Sed pulvinar mauris dui, eget varius purus congue ac. Nulla euismod, lorem vel elementum dapibus, nunc justo porta mi, sed tempus est est vel tellus. Nam et enim eleifend, laoreet sem sit amet, elementum sem. Morbi ut leo congue, maximus velit ut, finibus arcu. In et libero cursus, rutrum risus non, molestie leo. Nullam congue quam et volutpat malesuada. Sed risus tortor, pulvinar et dictum nec, sodales non mi. Phasellus lacinia commodo laoreet. Nam mollis, erat in feugiat consectetur, purus eros egestas tellus, in auctor urna odio at nibh. Mauris imperdiet nisi ac magna convallis, at rhoncus ligula cursus.</p>
<p>Cras aliquam rhoncus ipsum, in hendrerit nunc mattis vitae. Duis vitae efficitur metus, ac tempus leo. Cras nec fringilla lacus. Quisque sit amet risus at ipsum pharetra commodo. Sed aliquam mauris at consequat eleifend. Praesent porta, augue sed viverra bibendum, neque ante euismod ante, in vehicula justo lorem ac eros. Suspendisse augue libero, venenatis eget tincidunt ut, malesuada at lorem. Donec vitae bibendum arcu. Aenean maximus nulla non pretium iaculis. Quisque imperdiet, nulla in pulvinar aliquet, velit quam ultrices quam, sit amet fringilla leo sem vel nunc. Mauris in lacinia lacus.</p>
<p>Suspendisse a tincidunt lacus. Curabitur at urna sagittis, dictum ante sit amet, euismod magna. Sed rutrum massa id tortor commodo, vitae elementum turpis tempus. Lorem ipsum dolor sit amet, consectetur adipiscing elit. Aenean purus turpis, venenatis a ullamcorper nec, tincidunt et massa. Integer posuere quam rutrum arcu vehicula imperdiet. Mauris ullamcorper quam vitae purus congue, quis euismod magna eleifend. Vestibulum semper vel augue eget tincidunt. Fusce eget justo sodales, dapibus odio eu, ultrices lorem. Duis condimentum lorem id eros commodo, in facilisis mauris scelerisque. Morbi sed auctor leo. Nullam volutpat a lacus quis pharetra. Nulla congue rutrum magna a ornare.</p>
<p>Aliquam in turpis accumsan, malesuada nibh ut, hendrerit justo. Cum sociis natoque penatibus et magnis dis parturient montes, nascetur ridiculus mus. Quisque sed erat nec justo posuere suscipit. Donec ut efficitur arcu, in malesuada neque. Nunc dignissim nisl massa, id vulputate nunc pretium nec. Quisque eget urna in risus suscipit ultricies. Pellentesque odio odio, tincidunt in eleifend sed, posuere a diam. Nam gravida nisl convallis semper elementum. Morbi vitae felis faucibus, vulputate orci placerat, aliquet nisi. Aliquam erat volutpat. Maecenas sagittis pulvinar purus, sed porta quam laoreet at.</p>
<h2 id="tip-2">Tip 2</h2>
<p>Lorem ipsum dolor sit amet, consectetur adipiscing elit. Duis posuere tellus ac convallis placerat. Proin tincidunt magna sed ex sollicitudin condimentum. Sed ac faucibus dolor, scelerisque sollicitudin nisi. Cras purus urna, suscipit quis sapien eu, pulvinar tempor diam. Quisque risus orci, mollis id ante sit amet, gravida egestas nisl. Sed ac tempus magna. Proin in dui enim. Donec condimentum, sem id dapibus fringilla, tellus enim condimentum arcu, nec volutpat est felis vel metus. Vestibulum sit amet erat at nulla eleifend gravida.</p>
<p>Nullam vel molestie justo. Curabitur vitae efficitur leo. In hac habitasse platea dictumst. Sed pulvinar mauris dui, eget varius purus congue ac. Nulla euismod, lorem vel elementum dapibus, nunc justo porta mi, sed tempus est est vel tellus. Nam et enim eleifend, laoreet sem sit amet, elementum sem. Morbi ut leo congue, maximus velit ut, finibus arcu. In et libero cursus, rutrum risus non, molestie leo. Nullam congue quam et volutpat malesuada. Sed risus tortor, pulvinar et dictum nec, sodales non mi. Phasellus lacinia commodo laoreet. Nam mollis, erat in feugiat consectetur, purus eros egestas tellus, in auctor urna odio at nibh. Mauris imperdiet nisi ac magna convallis, at rhoncus ligula cursus.</p>
<p>Cras aliquam rhoncus ipsum, in hendrerit nunc mattis vitae. Duis vitae efficitur metus, ac tempus leo. Cras nec fringilla lacus. Quisque sit amet risus at ipsum pharetra commodo. Sed aliquam mauris at consequat eleifend. Praesent porta, augue sed viverra bibendum, neque ante euismod ante, in vehicula justo lorem ac eros. Suspendisse augue libero, venenatis eget tincidunt ut, malesuada at lorem. Donec vitae bibendum arcu. Aenean maximus nulla non pretium iaculis. Quisque imperdiet, nulla in pulvinar aliquet, velit quam ultrices quam, sit amet fringilla leo sem vel nunc. Mauris in lacinia lacus.</p>
<p>Suspendisse a tincidunt lacus. Curabitur at urna sagittis, dictum ante sit amet, euismod magna. Sed rutrum massa id tortor commodo, vitae elementum turpis tempus. Lorem ipsum dolor sit amet, consectetur adipiscing elit. Aenean purus turpis, venenatis a ullamcorper nec, tincidunt et massa. Integer posuere quam rutrum arcu vehicula imperdiet. Mauris ullamcorper quam vitae purus congue, quis euismod magna eleifend. Vestibulum semper vel augue eget tincidunt. Fusce eget justo sodales, dapibus odio eu, ultrices lorem. Duis condimentum lorem id eros commodo, in facilisis mauris scelerisque. Morbi sed auctor leo. Nullam volutpat a lacus quis pharetra. Nulla congue rutrum magna a ornare.</p>
<p>Aliquam in turpis accumsan, malesuada nibh ut, hendrerit justo. Cum sociis natoque penatibus et magnis dis parturient montes, nascetur ridiculus mus. Quisque sed erat nec justo posuere suscipit. Donec ut efficitur arcu, in malesuada neque. Nunc dignissim nisl massa, id vulputate nunc pretium nec. Quisque eget urna in risus suscipit ultricies. Pellentesque odio odio, tincidunt in eleifend sed, posuere a diam. Nam gravida nisl convallis semper elementum. Morbi vitae felis faucibus, vulputate orci placerat, aliquet nisi. Aliquam erat volutpat. Maecenas sagittis pulvinar purus, sed porta quam laoreet at.</p>
</description>
</item>
<item>
<title>Example Page 2</title>
<link>/courses/example/example2/</link>
<pubDate>Sun, 05 May 2019 00:00:00 +0100</pubDate>
<guid>/courses/example/example2/</guid>
<description><p>Here are some more tips for getting started with Academic:</p>
<h2 id="tip-3">Tip 3</h2>
<p>Lorem ipsum dolor sit amet, consectetur adipiscing elit. Duis posuere tellus ac convallis placerat. Proin tincidunt magna sed ex sollicitudin condimentum. Sed ac faucibus dolor, scelerisque sollicitudin nisi. Cras purus urna, suscipit quis sapien eu, pulvinar tempor diam. Quisque risus orci, mollis id ante sit amet, gravida egestas nisl. Sed ac tempus magna. Proin in dui enim. Donec condimentum, sem id dapibus fringilla, tellus enim condimentum arcu, nec volutpat est felis vel metus. Vestibulum sit amet erat at nulla eleifend gravida.</p>
<p>Nullam vel molestie justo. Curabitur vitae efficitur leo. In hac habitasse platea dictumst. Sed pulvinar mauris dui, eget varius purus congue ac. Nulla euismod, lorem vel elementum dapibus, nunc justo porta mi, sed tempus est est vel tellus. Nam et enim eleifend, laoreet sem sit amet, elementum sem. Morbi ut leo congue, maximus velit ut, finibus arcu. In et libero cursus, rutrum risus non, molestie leo. Nullam congue quam et volutpat malesuada. Sed risus tortor, pulvinar et dictum nec, sodales non mi. Phasellus lacinia commodo laoreet. Nam mollis, erat in feugiat consectetur, purus eros egestas tellus, in auctor urna odio at nibh. Mauris imperdiet nisi ac magna convallis, at rhoncus ligula cursus.</p>
<p>Cras aliquam rhoncus ipsum, in hendrerit nunc mattis vitae. Duis vitae efficitur metus, ac tempus leo. Cras nec fringilla lacus. Quisque sit amet risus at ipsum pharetra commodo. Sed aliquam mauris at consequat eleifend. Praesent porta, augue sed viverra bibendum, neque ante euismod ante, in vehicula justo lorem ac eros. Suspendisse augue libero, venenatis eget tincidunt ut, malesuada at lorem. Donec vitae bibendum arcu. Aenean maximus nulla non pretium iaculis. Quisque imperdiet, nulla in pulvinar aliquet, velit quam ultrices quam, sit amet fringilla leo sem vel nunc. Mauris in lacinia lacus.</p>
<p>Suspendisse a tincidunt lacus. Curabitur at urna sagittis, dictum ante sit amet, euismod magna. Sed rutrum massa id tortor commodo, vitae elementum turpis tempus. Lorem ipsum dolor sit amet, consectetur adipiscing elit. Aenean purus turpis, venenatis a ullamcorper nec, tincidunt et massa. Integer posuere quam rutrum arcu vehicula imperdiet. Mauris ullamcorper quam vitae purus congue, quis euismod magna eleifend. Vestibulum semper vel augue eget tincidunt. Fusce eget justo sodales, dapibus odio eu, ultrices lorem. Duis condimentum lorem id eros commodo, in facilisis mauris scelerisque. Morbi sed auctor leo. Nullam volutpat a lacus quis pharetra. Nulla congue rutrum magna a ornare.</p>
<p>Aliquam in turpis accumsan, malesuada nibh ut, hendrerit justo. Cum sociis natoque penatibus et magnis dis parturient montes, nascetur ridiculus mus. Quisque sed erat nec justo posuere suscipit. Donec ut efficitur arcu, in malesuada neque. Nunc dignissim nisl massa, id vulputate nunc pretium nec. Quisque eget urna in risus suscipit ultricies. Pellentesque odio odio, tincidunt in eleifend sed, posuere a diam. Nam gravida nisl convallis semper elementum. Morbi vitae felis faucibus, vulputate orci placerat, aliquet nisi. Aliquam erat volutpat. Maecenas sagittis pulvinar purus, sed porta quam laoreet at.</p>
<h2 id="tip-4">Tip 4</h2>
<p>Lorem ipsum dolor sit amet, consectetur adipiscing elit. Duis posuere tellus ac convallis placerat. Proin tincidunt magna sed ex sollicitudin condimentum. Sed ac faucibus dolor, scelerisque sollicitudin nisi. Cras purus urna, suscipit quis sapien eu, pulvinar tempor diam. Quisque risus orci, mollis id ante sit amet, gravida egestas nisl. Sed ac tempus magna. Proin in dui enim. Donec condimentum, sem id dapibus fringilla, tellus enim condimentum arcu, nec volutpat est felis vel metus. Vestibulum sit amet erat at nulla eleifend gravida.</p>
<p>Nullam vel molestie justo. Curabitur vitae efficitur leo. In hac habitasse platea dictumst. Sed pulvinar mauris dui, eget varius purus congue ac. Nulla euismod, lorem vel elementum dapibus, nunc justo porta mi, sed tempus est est vel tellus. Nam et enim eleifend, laoreet sem sit amet, elementum sem. Morbi ut leo congue, maximus velit ut, finibus arcu. In et libero cursus, rutrum risus non, molestie leo. Nullam congue quam et volutpat malesuada. Sed risus tortor, pulvinar et dictum nec, sodales non mi. Phasellus lacinia commodo laoreet. Nam mollis, erat in feugiat consectetur, purus eros egestas tellus, in auctor urna odio at nibh. Mauris imperdiet nisi ac magna convallis, at rhoncus ligula cursus.</p>
<p>Cras aliquam rhoncus ipsum, in hendrerit nunc mattis vitae. Duis vitae efficitur metus, ac tempus leo. Cras nec fringilla lacus. Quisque sit amet risus at ipsum pharetra commodo. Sed aliquam mauris at consequat eleifend. Praesent porta, augue sed viverra bibendum, neque ante euismod ante, in vehicula justo lorem ac eros. Suspendisse augue libero, venenatis eget tincidunt ut, malesuada at lorem. Donec vitae bibendum arcu. Aenean maximus nulla non pretium iaculis. Quisque imperdiet, nulla in pulvinar aliquet, velit quam ultrices quam, sit amet fringilla leo sem vel nunc. Mauris in lacinia lacus.</p>
<p>Suspendisse a tincidunt lacus. Curabitur at urna sagittis, dictum ante sit amet, euismod magna. Sed rutrum massa id tortor commodo, vitae elementum turpis tempus. Lorem ipsum dolor sit amet, consectetur adipiscing elit. Aenean purus turpis, venenatis a ullamcorper nec, tincidunt et massa. Integer posuere quam rutrum arcu vehicula imperdiet. Mauris ullamcorper quam vitae purus congue, quis euismod magna eleifend. Vestibulum semper vel augue eget tincidunt. Fusce eget justo sodales, dapibus odio eu, ultrices lorem. Duis condimentum lorem id eros commodo, in facilisis mauris scelerisque. Morbi sed auctor leo. Nullam volutpat a lacus quis pharetra. Nulla congue rutrum magna a ornare.</p>
<p>Aliquam in turpis accumsan, malesuada nibh ut, hendrerit justo. Cum sociis natoque penatibus et magnis dis parturient montes, nascetur ridiculus mus. Quisque sed erat nec justo posuere suscipit. Donec ut efficitur arcu, in malesuada neque. Nunc dignissim nisl massa, id vulputate nunc pretium nec. Quisque eget urna in risus suscipit ultricies. Pellentesque odio odio, tincidunt in eleifend sed, posuere a diam. Nam gravida nisl convallis semper elementum. Morbi vitae felis faucibus, vulputate orci placerat, aliquet nisi. Aliquam erat volutpat. Maecenas sagittis pulvinar purus, sed porta quam laoreet at.</p>
</description>
</item>
<item>
<title>Rationale-Guided Few-Shot Classification to Detect Abusive Language</title>
<link>/publication/saha2023ecai/</link>
<pubDate>Sat, 15 Jul 2023 00:00:00 +0000</pubDate>
<guid>/publication/saha2023ecai/</guid>
<description><p>
<a href="RGFS_ECAI_appendix.pdf">Link</a> to the supplementary file</p>
<h3 id="main-contributions">Main contributions</h3>
<p>Coming soon</p>
<h3 id="limitations">Limitations</h3>
<p>Coming soon</p>
<h3 id="future-directions">Future Directions</h3>
<p>Coming soon</p>
</description>
</item>
<item>
<title>On the rise of fear speech in online social media</title>
<link>/publication/saha2022pnas/</link>
<pubDate>Sat, 03 Jun 2023 00:00:00 +0000</pubDate>
<guid>/publication/saha2022pnas/</guid>
<description><h3 id="significance">Significance</h3>
<p>Existential fear has always been a concern across human history and even transcends to the rest of the animal world. This fear is so deeply ingrained that even the slightest “knock” to it could spark a violent conflict among different groups. Here, we demonstrate how social media platforms are used to extensively mediate elements of existential fear as fear speech posts. Their nontoxic and argumentative nature makes them appealing to even benign users who in turn contribute to their wide prevalence by resharing, liking, and replying to them. Remarkably, this prevalence is far stronger than the more well-known hate speech posts. Our work necessitates consolidated moderation efforts and awareness campaigns to mitigate the harmful effects of fear speech.</p>
<h3 id="main-contributions">Main contributions</h3>
<p>Coming soon</p>
<h3 id="limitations">Limitations</h3>
<p>Coming soon</p>
<h3 id="future-directions">Future Directions</h3>
<p>Coming soon</p>
</description>
</item>
<item>
<title>HateMM: A Multi-Modal Dataset for Hate Video Classification</title>
<link>/publication/das2023hatemm/</link>
<pubDate>Fri, 02 Jun 2023 00:00:00 +0000</pubDate>
<guid>/publication/das2023hatemm/</guid>
<description><h3 id="main-contributions">Main contributions</h3>
<p>Coming soon</p>
<h3 id="limitations">Limitations</h3>
<p>Coming soon</p>
<h3 id="future-directions">Future Directions</h3>
<p>Coming soon</p>
</description>
</item>
<item>
<title>Hate speech: Detection, Mitigation and Beyond @WSDM</title>
<link>/talk/wsdm_tutorial/</link>
<pubDate>Mon, 27 Mar 2023 08:30:00 +0000</pubDate>
<guid>/talk/wsdm_tutorial/</guid>
<description><h3 id="important-updates">Important updates</h3>
<ul>
<li>Slides can be
<a href="WSDM_2023_Tutorial.pdf">found here</a></li>
<li>Video of the tutorial can be
<a href="">found here</a>!!</li>
</ul>
<h3 id="contributions-and-achievements">Contributions and achievements</h3>
<ul>
<li>Our papers are accepted in <strong>top conferences/journals</strong> like PNAS, NeurIPS, LREC, AAAI, IJCAI, WWW, ECML-PKDD, CSCW, ICWSM, HyperText and WebSci. Link to the papers
<a href="../../tags/our-papers/">here</a></li>
<li>We have <strong>open sourced</strong> our codes and datasets under a single github organisation -
<a href="https://github.com/hate-alert" target="_blank" rel="noopener">hate-alert</a> for the future research in this domain</li>
<li>We have stored different <strong>transformers models</strong> in
<a href="https://huggingface.co/" target="_blank" rel="noopener">huggingface.co</a>. Link to
<a href="https://huggingface.co/Hate-speech-CNERG" target="_blank" rel="noopener">hatealert organisation</a></li>
<li><strong>Dataset</strong> from our recent accepted paper in AAAI - <em>&ldquo;Hatexplain:A Benchmark Dataset for Explainable Hate Speech Detection&rdquo;</em> is also stored in the
<a href="https://huggingface.co/datasets/hatexplain" target="_blank" rel="noopener">huggingface datsets forum</a></li>
<li>We also participate in several hate speech shared tasks, winning many of them -
<a href="https://ods.ai/competitions/urdu-hack-soc2021/leaderboard/private" target="_blank" rel="noopener">hatealert@URDU_SOC</a>,
<a href="https://www.aclweb.org/anthology/2021.dravidianlangtech-1.17.pdf" target="_blank" rel="noopener">hatealert@DLTEACL</a>,
<a href="http://personales.upv.es/prosso/resources/FersiniEtAl_Evalita18.pdf" target="_blank" rel="noopener">hateminers@AMI</a>,
<a href="https://dl.acm.org/doi/10.1145/3368567.3368584" target="_blank" rel="noopener">hatemonitors@HASOC</a> and coming under 1% in
<a href="https://www.drivendata.org/competitions/70/hateful-memes-phase-2/leaderboard/" target="_blank" rel="noopener">hatealert@Hatememe detection</a> by Facebook AI.</li>
<li>
<a href="https://www.notion.so/punyajoy/Hate-speech-papers-resource-7fc20fa1bea64cbdb30862092ae197b3" target="_blank" rel="noopener">Notion page</a> containing hate speech papers.</li>
</ul>
<h3 id="tutorial-outline">Tutorial Outline</h3>
<p>Outline of the Tutorial</p>
<ol>
<li>Introduction (25 mins)</li>
<li>Analysis (40 mins)
<ol>
<li>Prevalence of hate speech.</li>
<li>Targets of hate speech.</li>
<li>Effects of hate speech.</li>
<li>Effect of offline events.</li>
</ol>
</li>
<li>Detection (40 mins)
<ol>
<li>Summary of different datasets.
<ol>
<li>Unimodal.</li>
<li>Multimodal.</li>
</ol>
</li>
<li>Earlier detection models.</li>
<li>Current detection models .</li>
<li>Multimodal and multilingual hate speech.</li>
<li>Challenge.
<ol>
<li>Evaluation.</li>
<li>Explainability.</li>
<li>Bias.</li>
</ol>
</li>
</ol>
</li>
<li>Mitigation (40 mins).
<ol>
<li>Counterspeech campaigns.</li>
<li>Banning and suspending users.</li>
<li>Counterspeech detection.</li>
<li>Counterspeech generation.</li>
<li>Effect of counter speech.</li>
</ol>
</li>
<li>Demo (15 mins).</li>
<li>Future Challenge (10 mins).</li>
</ol>
<h3 id="about-the-organizers"><strong>About the Organizers</strong></h3>
<p><strong>Punyajoy Saha</strong> is a PhD scholar at the Department of Computer Science and Engineering, Indian Institute of Technology, Kharagpur (India). His research interests lies in the nexus of social computing and natural language processing. More about him can be found
<a href="https://punyajoy.github.io/" target="_blank" rel="noopener">here.</a></p>
<p><strong>Binny Mathew</strong> is a PhD scholar at the Department of Computer Science and Engineering, Indian Institute of Technology, Kharagpur (India). His research interest lies in computational social science and natural language processing. More about him can be found
<a href="https://binny-mathew.github.io/" target="_blank" rel="noopener">here.</a></p>
<p><strong>Mithun Das</strong> is a PhD scholar at the Department of Computer Science and Engineering, Indian Institute of Technology, Kharagpur (India). His research interests lie in computational social science and natural language processing. More about him can be found
<a href="https://das-mithun.github.io/" target="_blank" rel="noopener">here.</a></p>
<p><strong>Animesh Mukherjee</strong> is an Associate Professor at the Department of Computer Science and Engineering, Indian Institute of Technology, Kharagpur (India). His research interest lies in natural language processing, information retrieval and AI and ethics. More about him can be found
<a href="https://cse.iitkgp.ac.in/~animeshm/" target="_blank" rel="noopener">here.</a></p>
</description>
</item>
<item>
<title>Multilingual Abusive Comment Detection at Scale for Indic Languages</title>
<link>/publication/vikram2022macd/</link>
<pubDate>Wed, 05 Oct 2022 00:00:00 +0000</pubDate>
<guid>/publication/vikram2022macd/</guid>
<description><h3 id="main-contributions">Main contributions</h3>
<p>Coming soon</p>
<h3 id="limitations">Limitations</h3>
<p>Coming soon</p>
<h3 id="future-directions">Future Directions</h3>
<p>Coming soon</p>
</description>
</item>
<item>
<title>Which one is more toxic? Findings from Jigsaw Rate Severity of Toxic Comments</title>
<link>/publication/das2022toxic/</link>
<pubDate>Mon, 27 Jun 2022 00:00:00 +0000</pubDate>
<guid>/publication/das2022toxic/</guid>
<description><h3 id="main-contributions">Main contributions</h3>
<p>Coming soon</p>
<h3 id="limitations">Limitations</h3>
<p>Coming soon</p>
<h3 id="future-directions">Future Directions</h3>
<p>Coming soon</p>
</description>
</item>
<item>
<title>CounterGeDi: A controllable approach to generate polite, detoxified and emotional counterspeech</title>
<link>/publication/saha2022countergedi/</link>
<pubDate>Sat, 30 Apr 2022 00:00:00 +0000</pubDate>
<guid>/publication/saha2022countergedi/</guid>
<description><p>
<a href="Counterspeech_IJCAI_Appendix.pdf">Link</a> to the supplementary file</p>
<h3 id="main-contributions">Main contributions</h3>
<p>Coming soon</p>
<h3 id="limitations">Limitations</h3>
<p>Coming soon</p>
<h3 id="future-directions">Future Directions</h3>
<p>Coming soon</p>
</description>
</item>
<item>
<title>Data Bootstrapping Approaches to Improve Low Resource Abusive Language Detection for Indic Languages</title>
<link>/publication/das2022data/</link>
<pubDate>Tue, 26 Apr 2022 00:00:00 +0000</pubDate>
<guid>/publication/das2022data/</guid>
<description><h3 id="main-contributions">Main contributions</h3>
<p>Coming soon</p>
<h3 id="limitations">Limitations</h3>
<p>Coming soon</p>
<h3 id="future-directions">Future Directions</h3>
<p>Coming soon</p>
</description>
</item>
<item>
<title>HateCheckHIn: Evaluating Hindi Hate Speech Detection Models</title>
<link>/publication/das2022hatecheckin/</link>
<pubDate>Tue, 26 Apr 2022 00:00:00 +0000</pubDate>
<guid>/publication/das2022hatecheckin/</guid>
<description><h3 id="main-contributions">Main contributions</h3>
<p>Coming soon</p>
<h3 id="limitations">Limitations</h3>
<p>Coming soon</p>
<h3 id="future-directions">Future Directions</h3>
<p>Coming soon</p>
</description>
</item>
<item>
<title>Hate speech: Detection, Mitigation and Beyond @AAAI</title>
<link>/talk/aaai_tutorial/</link>
<pubDate>Wed, 23 Feb 2022 22:00:00 +0530</pubDate>
<guid>/talk/aaai_tutorial/</guid>
<description><h3 id="important-updates">Important updates</h3>
<ul>
<li>Slides can be
<a href="Tutorial_AAAI_2022.pdf">found here</a></li>
</ul>
<h3 id="contributions-and-achievements">Contributions and achievements</h3>
<ul>
<li>Our papers are accepted in <strong>top conferences</strong> like AAAI, WWW, CSCW, ICWSM, WebSci. Link to the papers
<a href="../../tags/our-papers/">here</a></li>
<li>We have <strong>open sourced</strong> our codes and datasets under a single github organisation -
<a href="https://github.com/hate-alert" target="_blank" rel="noopener">hate-alert</a> for the future research in this domain</li>
<li>We have stored different <strong>transformers models</strong> in
<a href="https://huggingface.co/" target="_blank" rel="noopener">huggingface.co</a>. Link to
<a href="https://huggingface.co/Hate-speech-CNERG" target="_blank" rel="noopener">hatealert organisation</a></li>
<li><strong>Dataset</strong> from our recent accepted paper in AAAI - <em>&ldquo;Hatexplain:A Benchmark Dataset for Explainable Hate Speech Detection&rdquo;</em> is also stored in the
<a href="https://huggingface.co/datasets/hatexplain" target="_blank" rel="noopener">huggingface datsets forum</a></li>
<li>We also participate in several hate speech shared tasks, winning many of them -
<a href="https://ods.ai/competitions/urdu-hack-soc2021/leaderboard/private" target="_blank" rel="noopener">hatealert@URDU_SOC</a>,
<a href="https://www.aclweb.org/anthology/2021.dravidianlangtech-1.17.pdf" target="_blank" rel="noopener">hatealert@DLTEACL</a>,
<a href="http://personales.upv.es/prosso/resources/FersiniEtAl_Evalita18.pdf" target="_blank" rel="noopener">hateminers@AMI</a>,
<a href="https://dl.acm.org/doi/10.1145/3368567.3368584" target="_blank" rel="noopener">hatemonitors@HASOC</a> and coming under 1% in
<a href="https://www.drivendata.org/competitions/70/hateful-memes-phase-2/leaderboard/" target="_blank" rel="noopener">hatealert@Hatememe detection</a> by Facebook AI.</li>
<li>
<a href="https://www.notion.so/punyajoy/Hate-speech-papers-resource-7fc20fa1bea64cbdb30862092ae197b3" target="_blank" rel="noopener">Notion page</a> containing hate speech papers.</li>
</ul>
<h3 id="tutorial-outline">Tutorial Outline</h3>
<p>In this <strong>translation style tutorial</strong>, we present an exposition of hate speech detection and mitigation in three steps. The following section presents a detailed plan for the tutorial:-</p>
<ol>
<li><strong>Introduction</strong> (15 min)- This section will cover the scentific interest in hate speech and various definitions of hate speech. This section will help you understand the outline and what to take home from this tutorial.</li>
<li><strong>Analysis</strong> (20 min)- In this section, we analyze the spread of hate speech in online social media platforms like Twitter, Facebook, Gab etc. We observe that hate speech is spreading through online communities at an alarming rate. These hateful users are well connected among themselves and are reaching a wider audience. This case is more severe in moderation free platforms like Gab, Bitchute etc. The targets of such hate vary. These include the Muslims, Jews, Africans etc. This section is further divided into the following parts
<ol>
<li>Spread of hate speech</li>
<li>Effects of hate speech</li>
<li>Targets of hate speech</li>
</ol>
</li>
<li><strong>Detection</strong> (20 min)- Hate speech detection is a challenging task. We now have several datasets available based on different criterias language, domain, modalities etc.Several models ranging from simple Bag of Words to complex ones like BERT have been used for the task. The task performance seems to be improving over time, however, there are issues like generalizability, bias and explainability of the models. This section is further divided into
<ol>
<li>Different datasets.</li>
<li>Earlier detection models</li>
<li>Current detection models (based on transformers)</li>
<li>Multimodal and Multilingual hate speech</li>
<li>Hate user detection</li>
<li>Challenge: Evaluation, Explainability and Bias</li>
</ol>
</li>
<li><strong>Mitigation</strong> (20 min)- To deter the spread of hate speech, organizations have adopted several policies. These include the general policies like deletion of posts and/or accounts, shadow banning to softer approaches like counterspeech. Policies like banning/deletion seem to be effective in some cases, but there are issues of violation of freedom of speech. Recent research have started looking into automated generation of counterspeech as well.
<ol>
<li>Banning and suspending users</li>
<li>Counter speech detection</li>
<li>Counter speech generation</li>
<li>Challenges: Generation pitfalls, Moderation effects</li>
</ol>
</li>
<li><strong>Road to the future</strong> (15 min)- We end this tutorial with covering the summary of the challenges and road to the future for hate speech research.
<ol>
<li>Summary of challenges</li>
<li>Branches and extensions of hate speech.</li>
<li>Connections to offline violence.</li>
<li>Guidelines for building better dataset.</li>
<li>Adapting to newer events and platforms.</li>
</ol>
</li>
</ol>
<h3 id="about-the-organizers"><strong>About the Organizers</strong></h3>
<p><strong>Punyajoy Saha</strong> is a PhD scholar at the Department of Computer Science and Engineering, Indian Institute of Technology, Kharagpur (India). His research interests lies in the nexus of social computing and natural language processing. More about him can be found
<a href="https://punyajoy.github.io/" target="_blank" rel="noopener">here.</a></p>
<p><strong>Binny Mathew</strong> is a PhD scholar at the Department of Computer Science and Engineering, Indian Institute of Technology, Kharagpur (India). His research interest lies in computational social science and natural language processing. More about him can be found
<a href="https://binny-mathew.github.io/" target="_blank" rel="noopener">here.</a></p>
<p><strong>Mithun Das</strong> is a PhD scholar at the Department of Computer Science and Engineering, Indian Institute of Technology, Kharagpur (India). His research interests lie in computational social science and natural language processing. More about him can be found
<a href="https://das-mithun.github.io/" target="_blank" rel="noopener">here.</a></p>
<p><strong>Animesh Mukherjee</strong> is an Associate Professor at the Department of Computer Science and Engineering, Indian Institute of Technology, Kharagpur (India). His research interest lies in natural language processing, information retrieval and AI and ethics. More about him can be found
<a href="https://cse.iitkgp.ac.in/~animeshm/" target="_blank" rel="noopener">here.</a></p>
</description>
</item>
<item>
<title>Abusive and Threatening Language Detection in Urdu using Boosting based and BERT based models: A Comparative Approach</title>
<link>/publication/banerjee2021urdu/</link>
<pubDate>Sat, 27 Nov 2021 00:00:00 +0000</pubDate>
<guid>/publication/banerjee2021urdu/</guid>
<description><h3 id="main-contributions">Main contributions</h3>
<p>Coming soon</p>
<h3 id="limitations">Limitations</h3>
<p>Coming soon</p>
<h3 id="future-directions">Future Directions</h3>
<p>Coming soon</p>
</description>
</item>
<item>
<title>Exploring Transformer Based Models to Identify Hate Speech and Offensive Content in English and Indo-Aryan Languages</title>
<link>/publication/banerjee2021exploring/</link>
<pubDate>Sat, 27 Nov 2021 00:00:00 +0000</pubDate>
<guid>/publication/banerjee2021exploring/</guid>
<description><h3 id="main-contributions">Main contributions</h3>
<p>Coming soon</p>
<h3 id="limitations">Limitations</h3>
<p>Coming soon</p>
<h3 id="future-directions">Future Directions</h3>
<p>Coming soon</p>
</description>
</item>
<item>
<title>You too Brutus! Trapping Hateful Users in Social Media: Challenges, Solutions & Insights</title>
<link>/publication/das2021hatefuluser/</link>
<pubDate>Fri, 30 Jul 2021 00:00:00 +0000</pubDate>
<guid>/publication/das2021hatefuluser/</guid>
<description><h3 id="main-contributions">Main contributions</h3>
<p>Coming soon</p>
<h3 id="limitations">Limitations</h3>
<p>Coming soon</p>
<h3 id="future-directions">Future Directions</h3>
<p>Coming soon</p>
</description>
</item>
<item>
<title>Hate speech: Detection, Mitigation and Beyond @ICWSM</title>
<link>/talk/icwsm_tutorial/</link>
<pubDate>Mon, 07 Jun 2021 18:30:00 +0530</pubDate>
<guid>/talk/icwsm_tutorial/</guid>
<description><h3 id="important-updates">Important updates</h3>
<ul>
<li>Slides can be
<a href="Tutorial_ICWSM_2021.pdf">found here</a></li>
<li>Video of the tutorial can be
<a href="https://www.youtube.com/watch?v=Jnh1G5l47jI" target="_blank" rel="noopener">found here</a>!!</li>
</ul>
<h3 id="contributions-and-achievements">Contributions and achievements</h3>
<ul>
<li>Our papers are accepted in <strong>top conferences</strong> like AAAI, WWW, CSCW, ICWSM, WebSci. Link to the papers
<a href="../../tags/our-papers/">here</a></li>
<li>We have <strong>open sourced</strong> our codes and datasets under a single github organisation -
<a href="https://github.com/hate-alert" target="_blank" rel="noopener">hate-alert</a> for the future research in this domain</li>
<li>We have stored different <strong>transformers models</strong> in
<a href="https://huggingface.co/" target="_blank" rel="noopener">huggingface.co</a>. Link to
<a href="https://huggingface.co/Hate-speech-CNERG" target="_blank" rel="noopener">hatealert organisation</a></li>
<li><strong>Dataset</strong> from our recent accepted paper in AAAI - <em>&ldquo;Hatexplain:A Benchmark Dataset for Explainable Hate Speech Detection&rdquo;</em> is also stored in the
<a href="https://huggingface.co/datasets/hatexplain" target="_blank" rel="noopener">huggingface datsets forum</a></li>
<li>We also participate in several hate speech shared tasks, winning many of them -
<a href="https://ods.ai/competitions/urdu-hack-soc2021/leaderboard/private" target="_blank" rel="noopener">hatealert@URDU_SOC</a>,
<a href="https://www.aclweb.org/anthology/2021.dravidianlangtech-1.17.pdf" target="_blank" rel="noopener">hatealert@DLTEACL</a>,
<a href="http://personales.upv.es/prosso/resources/FersiniEtAl_Evalita18.pdf" target="_blank" rel="noopener">hateminers@AMI</a>,
<a href="https://dl.acm.org/doi/10.1145/3368567.3368584" target="_blank" rel="noopener">hatemonitors@HASOC</a> and coming under 1% in
<a href="https://www.drivendata.org/competitions/70/hateful-memes-phase-2/leaderboard/" target="_blank" rel="noopener">hatealert@Hatememe detection</a> by Facebook AI.</li>
<li>
<a href="https://www.notion.so/punyajoy/Hate-speech-papers-resource-7fc20fa1bea64cbdb30862092ae197b3" target="_blank" rel="noopener">Notion page</a> containing hate speech papers.</li>
</ul>
<h3 id="tutorial-outline">Tutorial Outline</h3>
<p>In this <strong>translation style tutorial</strong>, we present an exposition of hate speech detection and mitigation in three steps. The following section presents a detailed plan for the tutorial:-</p>
<ol>
<li><strong>Introduction</strong> (15 min)- This section will cover the scentific interest in hate speech and various definitions of hate speech. This section will help you understand the outline and what to take home from this tutorial.</li>
<li><strong>Analysis</strong> (20 min)- In this section, we analyze the spread of hate speech in online social media platforms like Twitter, Facebook, Gab etc. We observe that hate speech is spreading through online communities at an alarming rate. These hateful users are well connected among themselves and are reaching a wider audience. This case is more severe in moderation free platforms like Gab, Bitchute etc. The targets of such hate vary. These include the Muslims, Jews, Africans etc. This section is further divided into the following parts
<ol>
<li>Spread of hate speech</li>
<li>Effects of hate speech</li>
<li>Targets of hate speech</li>
</ol>
</li>
<li><strong>Detection</strong> (20 min)- Hate speech detection is a challenging task. We now have several datasets available based on different criterias language, domain, modalities etc.Several models ranging from simple Bag of Words to complex ones like BERT have been used for the task. The task performance seems to be improving over time, however, there are issues like generalizability, bias and explainability of the models.
<ol>
<li>Different datasets. This section is further divided into</li>
<li>Earlier detection models</li>
<li>Current detection models (based on transformers)</li>
<li>Multimodal and Multilingual hate speech</li>
<li>Hate user detection</li>
<li>Challenge: Evaluation, Explainability and Bias</li>
</ol>
</li>
<li><strong>Mitigation</strong> (20 min)- To deter the spread of hate speech, organizations have adopted several policies. These include the general policies like deletion of posts and/or accounts, shadow banning to softer approaches like counterspeech. Policies like banning/deletion seem to be effective in some cases, but there are issues of violation of freedom of speech. Recent research have started looking into automated generation of counterspeech as well.
<ol>
<li>Banning and suspending users</li>
<li>Counter speech detection</li>
<li>Counter speech generation</li>
<li>Challenges: Generation pitfalls, Moderation effects</li>
</ol>
</li>
<li><strong>Road to the future</strong> (15 min)- We end this tutorial with covering the summary of the challenges and road to the future for hate speech research.
<ol>
<li>Summary of challenges</li>
<li>Branches and extensions of hate speech.</li>
<li>Connections to offline violence.</li>
<li>Guidelines for building better dataset.</li>
<li>Adapting to newer events and platforms.</li>
</ol>
</li>
</ol>
<h3 id="about-the-organizers"><strong>About the Organizers</strong></h3>
<p><strong>Punyajoy Saha</strong> is a PhD scholar at the Department of Computer Science and Engineering, Indian Institute of Technology, Kharagpur (India). His research interests lies in the nexus of social computing and natural language processing. More about him can be found
<a href="https://punyajoy.github.io/" target="_blank" rel="noopener">here.</a></p>
<p><strong>Binny Mathew</strong> is a PhD scholar at the Department of Computer Science and Engineering, Indian Institute of Technology, Kharagpur (India). His research interest lies in computational social science and natural language processing. More about him can be found
<a href="https://binny-mathew.github.io/" target="_blank" rel="noopener">here.</a></p>
<p><strong>Mithun Das</strong> is a PhD scholar at the Department of Computer Science and Engineering, Indian Institute of Technology, Kharagpur (India). His research interests lie in computational social science and natural language processing. More about him can be found
<a href="https://das-mithun.github.io/" target="_blank" rel="noopener">here.</a></p>
<p><strong>Pawan Goyal</strong> is an Associate Professor at the Department of Computer Science and Engineering, Indian Institute of Technology, Kharagpur (India). His research interest lies in natural language processing and text mining. More about him can be found
<a href="https://cse.iitkgp.ac.in/~pawang/" target="_blank" rel="noopener">here.</a></p>
<p><strong>Kiran Garimella</strong> is the first IDSS postdoctoral fellow to receive a Hammer Fellowship, pioneers research into the spread of rumors and misinformation on closed platforms such as WhatsApp, a popular encrypted messaging service with millions of users worldwide. More about him can be found
<a href="https://users.ics.aalto.fi/kiran/" target="_blank" rel="noopener">here.</a></p>
<p><strong>Animesh Mukherjee</strong> is an Associate Professor at the Department of Computer Science and Engineering, Indian Institute of Technology, Kharagpur (India). His research interest lies in natural language processing, information retrieval and AI and ethics. More about him can be found
<a href="https://cse.iitkgp.ac.in/~animeshm/" target="_blank" rel="noopener">here.</a></p>
</description>
</item>
<item>
<title>Analysis</title>
<link>/project/analysis/</link>
<pubDate>Wed, 03 Mar 2021 00:29:04 +0530</pubDate>
<guid>/project/analysis/</guid>
<description><p>We analyze the spread of hate speech in online social media platforms like Twitter, Facebook, Gab etc. We observe that hate speech is spreading through online communities at an alarming rate. These hateful users are well connected among themselves and are reaching a wider audience. This case is more severe in moderation free platforms like Gab, Bitchute etc. The targets of such hate vary. These include the Muslims, Jews, Africans etc.</p>
</description>
</item>
<item>
<title>Hate-Alert@ DravidianLangTech-EACL2021: Ensembling strategies for Transformer-based Offensive language Detection</title>
<link>/publication/saha2021hate/</link>
<pubDate>Fri, 19 Feb 2021 00:00:00 +0000</pubDate>
<guid>/publication/saha2021hate/</guid>
<description><h3 id="main-contributions">Main contributions</h3>
<p>Coming soon</p>
<h3 id="limitations">Limitations</h3>
<p>Coming soon</p>
<h3 id="future-directions">Future Directions</h3>
<p>Coming soon</p>
</description>
</item>
<item>
<title>Short is the Road that Leads from Fear to Hate: Fear Speech in Indian WhatsApp Groups</title>
<link>/publication/saha2021short/</link>
<pubDate>Tue, 09 Feb 2021 00:00:00 +0000</pubDate>
<guid>/publication/saha2021short/</guid>
<description><h3 id="main-contributions">Main contributions</h3>
<p>Coming soon</p>
<h3 id="limitations">Limitations</h3>
<p>Coming soon</p>
<h3 id="future-directions">Future Directions</h3>
<p>Coming soon</p>
</description>
</item>
<item>
<title>Using Knowledge Graphs to Improve Hate Speech Detection</title>
<link>/publication/maheshappa2021using/</link>
<pubDate>Fri, 01 Jan 2021 00:00:00 +0000</pubDate>
<guid>/publication/maheshappa2021using/</guid>
<description><h3 id="main-contributions">Main contributions</h3>
<p>Coming soon</p>
<h3 id="limitations">Limitations</h3>
<p>Coming soon</p>
<h3 id="future-directions">Future Directions</h3>
<p>Coming soon</p>
</description>
</item>
<item>
<title>HateXplain: A Benchmark Dataset for Explainable Hate Speech Detection</title>
<link>/publication/mathew2020hatexplain/</link>
<pubDate>Fri, 18 Dec 2020 00:00:00 +0000</pubDate>
<guid>/publication/mathew2020hatexplain/</guid>
<description><h3 id="main-contributions">Main contributions</h3>
<p>Coming soon</p>
<h3 id="limitations">Limitations</h3>
<p>Coming soon</p>
<h3 id="future-directions">Future Directions</h3>
<p>Coming soon</p>
</description>
</item>
<item>
<title>Hate begets Hate: A Temporal Study of Hate Speech</title>
<link>/publication/mathew2019temporal/</link>
<pubDate>Sat, 25 Jul 2020 00:00:00 +0000</pubDate>
<guid>/publication/mathew2019temporal/</guid>
<description><h3 id="main-contributions">Main contributions</h3>
<p>Coming soon</p>
<h3 id="limitations">Limitations</h3>
<p>Coming soon</p>
<h3 id="future-directions">Future Directions</h3>
<p>Coming soon</p>
</description>
</item>
<item>
<title>Detection</title>
<link>/project/detection/</link>
<pubDate>Tue, 03 Mar 2020 00:26:36 +0530</pubDate>
<guid>/project/detection/</guid>
<description><p>Hate speech detection is a challenging task. We now have several datasets available based on different criterias language, domain, modalities etc.Several models ranging from simple Bag of Words to complex ones like BERT have been used for the task. The task performance seems to be improving over time, however, there are issues like generalizability, bias and explainability of the models.</p>
</description>
</item>
<item>
<title>Comparison Between Traditional Machine Learning Models And Neural Network Models For Vietnamese Hate Speech Detection</title>
<link>/publication/luu2020comparison/</link>
<pubDate>Wed, 01 Jan 2020 00:00:00 +0000</pubDate>
<guid>/publication/luu2020comparison/</guid>
<description><h3 id="main-contributions">Main contributions</h3>
<p>Coming soon</p>
<h3 id="limitations">Limitations</h3>
<p>Coming soon</p>
<h3 id="future-directions">Future Directions</h3>
<p>Coming soon</p>
</description>
</item>
<item>
<title>Deep Learning Models for Multilingual Hate Speech Detection</title>
<link>/publication/saketh2020deep/</link>
<pubDate>Wed, 01 Jan 2020 00:00:00 +0000</pubDate>
<guid>/publication/saketh2020deep/</guid>
<description><h3 id="main-contributions">Main contributions</h3>
<p>Coming soon</p>
<h3 id="limitations">Limitations</h3>
<p>Coming soon</p>
<h3 id="future-directions">Future Directions</h3>
<p>Coming soon</p>
</description>
</item>
<item>
<title>Interaction dynamics between hate and counter users on Twitter</title>
<link>/publication/mathew2020interaction/</link>
<pubDate>Wed, 01 Jan 2020 00:00:00 +0000</pubDate>
<guid>/publication/mathew2020interaction/</guid>
<description><h3 id="main-contributions">Main contributions</h3>
<p>Coming soon</p>
<h3 id="limitations">Limitations</h3>
<p>Coming soon</p>
<h3 id="future-directions">Future Directions</h3>
<p>Coming soon</p>
</description>
</item>
<item>
<title>An example preprint / working paper</title>
<link>/publication/preprint/</link>
<pubDate>Sun, 07 Apr 2019 00:00:00 +0000</pubDate>
<guid>/publication/preprint/</guid>
<description><!-- raw HTML omitted -->
<p>Supplementary notes can be added here, including
<a href="https://sourcethemes.com/academic/docs/writing-markdown-latex/" target="_blank" rel="noopener">code and math</a>.</p>
</description>
</item>
<item>
<title>Mitigation</title>
<link>/project/mitigation/</link>
<pubDate>Sun, 03 Mar 2019 00:29:10 +0530</pubDate>
<guid>/project/mitigation/</guid>
<description><p>To deter the spread of hate speech, organizations have adopted several policies. These include the general policies like deletion of posts and/or accounts, shadow banning to softer approaches like counterspeech. Policies like banning/deletion seem to be effective in some cases, but there are issues of violation of freedom of speech. Recent research have started looking into automated generation of counterspeech as well.</p>
</description>
</item>
<item>
<title>Slides</title>
<link>/slides/example/</link>
<pubDate>Tue, 05 Feb 2019 00:00:00 +0000</pubDate>
<guid>/slides/example/</guid>
<description><h1 id="welcome-to-slides">Welcome to Slides</h1>
<p>
<a href="https://sourcethemes.com/academic/" target="_blank" rel="noopener">Academic</a></p>
<hr>
<h2 id="features">Features</h2>
<ul>
<li>Efficiently write slides in Markdown</li>
<li>3-in-1: Create, Present, and Publish your slides</li>
<li>Supports speaker notes</li>
<li>Mobile friendly slides</li>
</ul>
<hr>
<h2 id="controls">Controls</h2>
<ul>
<li>Next: <code>Right Arrow</code> or <code>Space</code></li>
<li>Previous: <code>Left Arrow</code></li>
<li>Start: <code>Home</code></li>
<li>Finish: <code>End</code></li>
<li>Overview: <code>Esc</code></li>
<li>Speaker notes: <code>S</code></li>
<li>Fullscreen: <code>F</code></li>
<li>Zoom: <code>Alt + Click</code></li>
<li>
<a href="https://github.com/hakimel/reveal.js#pdf-export" target="_blank" rel="noopener">PDF Export</a>: <code>E</code></li>
</ul>
<hr>
<h2 id="code-highlighting">Code Highlighting</h2>
<p>Inline code: <code>variable</code></p>
<p>Code block:</p>
<div class="highlight"><pre style="color:#f8f8f2;background-color:#272822;-moz-tab-size:4;-o-tab-size:4;tab-size:4"><code class="language-python" data-lang="python">porridge <span style="color:#f92672">=</span> <span style="color:#e6db74"></span><span style="color:#e6db74">&#34;</span><span style="color:#e6db74">blueberry</span><span style="color:#e6db74">&#34;</span>
<span style="color:#66d9ef">if</span> porridge <span style="color:#f92672">==</span> <span style="color:#e6db74"></span><span style="color:#e6db74">&#34;</span><span style="color:#e6db74">blueberry</span><span style="color:#e6db74">&#34;</span>:
<span style="color:#66d9ef">print</span>(<span style="color:#e6db74"></span><span style="color:#e6db74">&#34;</span><span style="color:#e6db74">Eating...</span><span style="color:#e6db74">&#34;</span>)
</code></pre></div><hr>
<h2 id="math">Math</h2>
<p>In-line math: $x + y = z$</p>
<p>Block math:</p>
<p>$$
f\left( x \right) = ;\frac{{2\left( {x + 4} \right)\left( {x - 4} \right)}}{{\left( {x + 4} \right)\left( {x + 1} \right)}}
$$</p>
<hr>
<h2 id="fragments">Fragments</h2>
<p>Make content appear incrementally</p>
<pre><code>{{% fragment %}} One {{% /fragment %}}
{{% fragment %}} **Two** {{% /fragment %}}
{{% fragment %}} Three {{% /fragment %}}
</code></pre><p>Press <code>Space</code> to play!</p>
<p><!-- raw HTML omitted -->
One
<!-- raw HTML omitted -->
<!-- raw HTML omitted -->
<strong>Two</strong>
<!-- raw HTML omitted -->
<!-- raw HTML omitted -->
Three
<!-- raw HTML omitted --></p>
<hr>
<p>A fragment can accept two optional parameters:</p>
<ul>
<li><code>class</code>: use a custom style (requires definition in custom CSS)</li>
<li><code>weight</code>: sets the order in which a fragment appears</li>
</ul>
<hr>
<h2 id="speaker-notes">Speaker Notes</h2>
<p>Add speaker notes to your presentation</p>
<div class="highlight"><pre style="color:#f8f8f2;background-color:#272822;-moz-tab-size:4;-o-tab-size:4;tab-size:4"><code class="language-markdown" data-lang="markdown">{{% speaker_note %}}
<span style="color:#66d9ef">-</span> Only the speaker can read these notes
<span style="color:#66d9ef">-</span> Press <span style="color:#e6db74">`S`</span> key to view
{{% /speaker_note %}}
</code></pre></div><p>Press the <code>S</code> key to view the speaker notes!</p>
<aside class="notes">
<ul>
<li>Only the speaker can read these notes</li>
<li>Press <code>S</code> key to view</li>
</ul>
</aside>
<hr>
<h2 id="themes">Themes</h2>
<ul>
<li>black: Black background, white text, blue links (default)</li>
<li>white: White background, black text, blue links</li>
<li>league: Gray background, white text, blue links</li>
<li>beige: Beige background, dark text, brown links</li>
<li>sky: Blue background, thin dark text, blue links</li>
</ul>
<hr>
<ul>
<li>night: Black background, thick white text, orange links</li>
<li>serif: Cappuccino background, gray text, brown links</li>
<li>simple: White background, black text, blue links</li>
<li>solarized: Cream-colored background, dark green text, blue links</li>
</ul>
<hr>
<section data-noprocess data-shortcode-slide
data-background-image="/img/boards.jpg"
>
<h2 id="custom-slide">Custom Slide</h2>
<p>Customize the slide style and background</p>
<div class="highlight"><pre style="color:#f8f8f2;background-color:#272822;-moz-tab-size:4;-o-tab-size:4;tab-size:4"><code class="language-markdown" data-lang="markdown">{{&lt; slide background-image=&#34;/img/boards.jpg&#34; &gt;}}
{{&lt; slide background-color=&#34;#0000FF&#34; &gt;}}
{{&lt; slide class=&#34;my-style&#34; &gt;}}
</code></pre></div><hr>
<h2 id="custom-css-example">Custom CSS Example</h2>
<p>Let&rsquo;s make headers navy colored.</p>
<p>Create <code>assets/css/reveal_custom.css</code> with:</p>
<div class="highlight"><pre style="color:#f8f8f2;background-color:#272822;-moz-tab-size:4;-o-tab-size:4;tab-size:4"><code class="language-css" data-lang="css">.<span style="color:#a6e22e">reveal</span> <span style="color:#f92672">section</span> <span style="color:#f92672">h1</span><span style="color:#f92672">,</span>
.<span style="color:#a6e22e">reveal</span> <span style="color:#f92672">section</span> <span style="color:#f92672">h2</span><span style="color:#f92672">,</span>
.<span style="color:#a6e22e">reveal</span> <span style="color:#f92672">section</span> <span style="color:#f92672">h3</span> {
<span style="color:#66d9ef">color</span>: <span style="color:#66d9ef">navy</span>;
}
</code></pre></div><hr>
<h1 id="questions">Questions?</h1>
<p>
<a href="https://discourse.gohugo.io" target="_blank" rel="noopener">Ask</a></p>
<p>
<a href="https://sourcethemes.com/academic/docs/" target="_blank" rel="noopener">Documentation</a></p>
</description>
</item>
<item>
<title>A benchmark dataset for learning to intervene in online hate speech</title>
<link>/publication/qian2019benchmark/</link>
<pubDate>Tue, 01 Jan 2019 00:00:00 +0000</pubDate>
<guid>/publication/qian2019benchmark/</guid>
<description><h3 id="main-contributions">Main contributions</h3>
<p>Coming soon</p>
<h3 id="limitations">Limitations</h3>
<p>Coming soon</p>
<h3 id="future-directions">Future Directions</h3>
<p>Coming soon</p>
</description>
</item>
<item>
<title>ARHNet-Leveraging Community Interaction for Detection of Religious Hate Speech in Arabic</title>
<link>/publication/chowdhury2019arhnet/</link>
<pubDate>Tue, 01 Jan 2019 00:00:00 +0000</pubDate>
<guid>/publication/chowdhury2019arhnet/</guid>
<description><h3 id="main-contributions">Main contributions</h3>
<p>Coming soon</p>
<h3 id="limitations">Limitations</h3>
<p>Coming soon</p>
<h3 id="future-directions">Future Directions</h3>
<p>Coming soon</p>
</description>
</item>
<item>
<title>CONAN--COunter NArratives through Nichesourcing: a Multilingual Dataset of Responses to Fight Online Hate Speech</title>
<link>/publication/chung2019conan/</link>
<pubDate>Tue, 01 Jan 2019 00:00:00 +0000</pubDate>
<guid>/publication/chung2019conan/</guid>
<description><h3 id="main-contributions">Main contributions</h3>
<p>Coming soon</p>
<h3 id="limitations">Limitations</h3>
<p>Coming soon</p>
<h3 id="future-directions">Future Directions</h3>
<p>Coming soon</p>
</description>
</item>
<item>
<title>Detection of hate speech in social networks: a survey on multilingual corpus</title>
<link>/publication/al2019detection/</link>
<pubDate>Tue, 01 Jan 2019 00:00:00 +0000</pubDate>
<guid>/publication/al2019detection/</guid>
<description><h3 id="main-contributions">Main contributions</h3>
<p>Coming soon</p>
<h3 id="limitations">Limitations</h3>
<p>Coming soon</p>
<h3 id="future-directions">Future Directions</h3>
<p>Coming soon</p>
</description>
</item>
<item>
<title>Differentiating hate speech: a systemic discrimination approach</title>
<link>/publication/gelber2019differentiating/</link>
<pubDate>Tue, 01 Jan 2019 00:00:00 +0000</pubDate>
<guid>/publication/gelber2019differentiating/</guid>
<description><h3 id="main-contributions">Main contributions</h3>
<p>Coming soon</p>
<h3 id="limitations">Limitations</h3>
<p>Coming soon</p>
<h3 id="future-directions">Future Directions</h3>
<p>Coming soon</p>
</description>
</item>
<item>
<title>Hate Speech Detection on Vietnamese Social Media Text using the Bi-GRU-LSTM-CNN Model</title>
<link>/publication/van2019hate/</link>
<pubDate>Tue, 01 Jan 2019 00:00:00 +0000</pubDate>
<guid>/publication/van2019hate/</guid>
<description><h3 id="main-contributions">Main contributions</h3>
<p>Coming soon</p>
<h3 id="limitations">Limitations</h3>
<p>Coming soon</p>
<h3 id="future-directions">Future Directions</h3>
<p>Coming soon</p>
</description>
</item>
<item>
<title>Hate speech detection: A solved problem? the challenging case of long tail on twitter</title>
<link>/publication/zhang2019hate/</link>
<pubDate>Tue, 01 Jan 2019 00:00:00 +0000</pubDate>
<guid>/publication/zhang2019hate/</guid>
<description><h3 id="main-contributions">Main contributions</h3>
<p>Coming soon</p>
<h3 id="limitations">Limitations</h3>
<p>Coming soon</p>
<h3 id="future-directions">Future Directions</h3>
<p>Coming soon</p>
</description>
</item>
<item>
<title>Hate speech on social media networks: towards a regulatory framework?</title>
<link>/publication/alkiviadou2019hate/</link>
<pubDate>Tue, 01 Jan 2019 00:00:00 +0000</pubDate>
<guid>/publication/alkiviadou2019hate/</guid>
<description><h3 id="main-contributions">Main contributions</h3>
<p>Coming soon</p>
<h3 id="limitations">Limitations</h3>
<p>Coming soon</p>
<h3 id="future-directions">Future Directions</h3>
<p>Coming soon</p>
</description>
</item>
<item>
<title>HateMonitors: Language Agnostic Abuse Detection in Social Media</title>
<link>/publication/saha2019hatemonitors/</link>
<pubDate>Tue, 01 Jan 2019 00:00:00 +0000</pubDate>
<guid>/publication/saha2019hatemonitors/</guid>
<description><h3 id="main-contributions">Main contributions</h3>
<p>Coming soon</p>
<h3 id="limitations">Limitations</h3>
<p>Coming soon</p>
<h3 id="future-directions">Future Directions</h3>
<p>Coming soon</p>
</description>
</item>
<item>
<title>Learning to Decipher Hate Symbols</title>
<link>/publication/qian2019learning/</link>
<pubDate>Tue, 01 Jan 2019 00:00:00 +0000</pubDate>
<guid>/publication/qian2019learning/</guid>
<description><h3 id="main-contributions">Main contributions</h3>
<p>Coming soon</p>
<h3 id="limitations">Limitations</h3>
<p>Coming soon</p>
<h3 id="future-directions">Future Directions</h3>
<p>Coming soon</p>
</description>
</item>
<item>
<title>Overview of the hasoc track at fire 2019: Hate speech and offensive content identification in indo-european languages</title>
<link>/publication/mandl2019overview/</link>
<pubDate>Tue, 01 Jan 2019 00:00:00 +0000</pubDate>
<guid>/publication/mandl2019overview/</guid>
<description><h3 id="main-contributions">Main contributions</h3>
<p>Coming soon</p>
<h3 id="limitations">Limitations</h3>
<p>Coming soon</p>
<h3 id="future-directions">Future Directions</h3>
<p>Coming soon</p>
</description>
</item>
<item>
<title>Right-wing German hate speech on Twitter: Analysis and automatic detection</title>
<link>/publication/jaki2019right/</link>
<pubDate>Tue, 01 Jan 2019 00:00:00 +0000</pubDate>
<guid>/publication/jaki2019right/</guid>
<description><h3 id="main-contributions">Main contributions</h3>
<p>Coming soon</p>
<h3 id="limitations">Limitations</h3>
<p>Coming soon</p>
<h3 id="future-directions">Future Directions</h3>
<p>Coming soon</p>
</description>
</item>
<item>
<title>Semeval-2019 task 5: Multilingual detection of hate speech against immigrants and women in twitter</title>
<link>/publication/basile2019semeval/</link>
<pubDate>Tue, 01 Jan 2019 00:00:00 +0000</pubDate>
<guid>/publication/basile2019semeval/</guid>
<description><h3 id="main-contributions">Main contributions</h3>
<p>Coming soon</p>
<h3 id="limitations">Limitations</h3>
<p>Coming soon</p>
<h3 id="future-directions">Future Directions</h3>
<p>Coming soon</p>
</description>
</item>
<item>
<title>Spread of hate speech in online social media</title>
<link>/publication/mathew2019spread/</link>
<pubDate>Tue, 01 Jan 2019 00:00:00 +0000</pubDate>
<guid>/publication/mathew2019spread/</guid>
<description><h3 id="main-contributions">Main contributions</h3>
<p>Coming soon</p>
<h3 id="limitations">Limitations</h3>
<p>Coming soon</p>
<h3 id="future-directions">Future Directions</h3>
<p>Coming soon</p>
</description>
</item>
<item>
<title>The risk of racial bias in hate speech detection</title>
<link>/publication/sap2019risk/</link>
<pubDate>Tue, 01 Jan 2019 00:00:00 +0000</pubDate>
<guid>/publication/sap2019risk/</guid>
<description><h3 id="main-contributions">Main contributions</h3>
<p>Coming soon</p>
<h3 id="limitations">Limitations</h3>
<p>Coming soon</p>
<h3 id="future-directions">Future Directions</h3>
<p>Coming soon</p>
</description>
</item>
<item>
<title>Thou shalt not hate: Countering online hate speech</title>
<link>/publication/mathew2019thou/</link>
<pubDate>Tue, 01 Jan 2019 00:00:00 +0000</pubDate>
<guid>/publication/mathew2019thou/</guid>
<description><h3 id="main-contributions">Main contributions</h3>
<p>Coming soon</p>
<h3 id="limitations">Limitations</h3>
<p>Coming soon</p>
<h3 id="future-directions">Future Directions</h3>
<p>Coming soon</p>
</description>
</item>
<item>
<title>VAIS Hate Speech Detection System: A Deep Learning based Approach for System Combination</title>
<link>/publication/nguyen2019vais/</link>
<pubDate>Tue, 01 Jan 2019 00:00:00 +0000</pubDate>
<guid>/publication/nguyen2019vais/</guid>
<description><h3 id="main-contributions">Main contributions</h3>
<p>Coming soon</p>
<h3 id="limitations">Limitations</h3>
<p>Coming soon</p>
<h3 id="future-directions">Future Directions</h3>
<p>Coming soon</p>
</description>
</item>
<item>
<title>“The Enemy Among Us” Detecting Cyber Hate Speech with Threats-based Othering Language Embeddings</title>
<link>/publication/alorainy2019enemy/</link>
<pubDate>Tue, 01 Jan 2019 00:00:00 +0000</pubDate>
<guid>/publication/alorainy2019enemy/</guid>
<description><h3 id="main-contributions">Main contributions</h3>
<p>Coming soon</p>
<h3 id="limitations">Limitations</h3>
<p>Coming soon</p>
<h3 id="future-directions">Future Directions</h3>
<p>Coming soon</p>
</description>
</item>