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comments): in some societies and contexts, hateful language may not be accompanied by or followed by violence, whereas in others, it might. For this reason, the evidence was only considered valuable in conjunction with other evidence about the risk and threat of violence, and the project concentrated
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as 'a very unhygienic or uncultured person' or the reference to Tutsis as cockroaches by the
Rwandan radio stations, that an outsider may simply consider evidence that the region was suffering from a literal cockroach infestation. This relates to the challenge of identifying subtly different uses of
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described
Hatebase as follows: "There are two main features to Hatebase. The first is a Knowledge-like interface which allows users to identify hate speech terms by region and the group they refer to. This could have some value for researchers, but Hatebase's developers are especially excited by the
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that is described on its website as an "online repository of structured, multilingual, usage-based hate speech". It uses text analysis of speech and written content (including radio transcripts, transcripts of spoken web content, tweets, and articles) and identification of
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The regional and multilingual focus of the site was deemed particularly useful for identifying words that could be construed as hate in some languages and contexts but that outsiders would not know of, such as the word "sakkiliya" in
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the same or similar words, one of which connotes hate and the other doesn't. In the context of language that equates humans with pollution or stains, this is also called the
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304:"Hatebase: An anti-genocide app. An NGO hopes tracking hateful tweets can flag mounting ethnic conflict, and even prevent genocide"
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published a feature about
Hatebase called "Hatebase catalogues the world’s hate speech in real time so you don’t have to".
273:"Introducing Hatebase: the world's largest online database of hate speech (The Sentinel Project for Genocide Prevention)"
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second main feature, which allows users to identify instances when they've heard these terms used." The example of the
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The introduction of
Hatebase was announced on the Sentinel Project blog on March 25, 2013. The initiative is led by
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192:. A week later, the magazine published a response letter by Gwyneth Sutherlin, a doctoral candidate at the
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Another related challenge is to control for the ambient level of casual hate speech in society (such as
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571:"Hatebase catalogues the world's hate speech in real time so you don't have to"
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its efforts on mapping hate speech in regions with a history of violence.
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was cited in that article and also in an article about
Hatebase on
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513:"Hatebase Tries To Scan For Precursors of Genocide In Language"
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patterns within it to predict potential regional violence.
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International
Coalition for the Responsibility to Protect
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publication. It was also covered in the
Canadian weekly
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Keating, Joshua; Sutherlin, Gwyneth (April 11, 2013).
186:Joshua Keating covered Hatebase in an article for
343:"Mapping hate speech to predict ethnic violence"
540:"Letters: The problem with mapping hate speech"
163:and the story was picked up and discussed on
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141:. Information about the API can be found at
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157:The launch of Hatebase was covered in
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77:: in the months leading up to the
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375:Shubber, Kadhim (April 5, 2013).
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135:Application programming interface
463:. Programmable Web. 30 June 2013
167:. Hatebase was also covered in
81:, radio stations attempted to
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19:is a joint project of the
199:On September 10, 2019,
436:"Hatebase API Wrapper"
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133:Hatebase provided an
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623:Genocide prevention
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578:. Retrieved
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110:Tamil person
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618:Hate speech
232:November 5,
115:human stain
94:cockroaches
52:Description
30:hate speech
612:Categories
580:October 2,
575:TechCrunch
483:"Hatebase"
415:Metro News
228:. Hatebase
226:"Hatebase"
209:References
202:TechCrunch
170:Metro News
83:dehumanize
308:Maclean's
180:Maclean's
153:Reception
117:problem.
106:Sri Lanka
102:Sinhalese
74:Maclean's
517:Slashdot
175:Canadian
165:Slashdot
79:genocide
23:and the
17:Hatebase
554:May 19,
523:May 19,
497:May 19,
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467:May 19,
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420:May 19,
391:May 19,
357:May 19,
314:May 19,
283:May 19,
257:May 19,
147:Mashape
122:YouTube
44:of the
36:History
440:GitHub
139:GitHub
86:Tutsis
90:Hutus
582:2019
556:2014
525:2014
499:2014
469:2014
447:2014
422:2014
393:2014
359:2014
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259:2014
234:2022
173:, a
145:and
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88:to
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