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Lack of moderation in online communities enables participants to incur in personal aggression, harassment or cyberbullying, issues that have been accentuated by extremist radicalisation in the contemporary post-truth politics scenario.
A guided tour to approximate string matching
Gonzalo Navarro · 2001
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Machine learning in adversarial environments
Pavel Laskov and Richard Lippmann · 2010
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Analyzing labeled cyberbullying incidents on the instagram social network
Homa Hosseinmardi, Sabrina Arredondo Mattson, Rahat Ibn Rafiq, Richard Han, Qin Lv, and Shivakant Mishra · 2015
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On string matching with mismatches
Marius Nicolae and Sanguthevar Rajasekaran · 2015
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Back to swear one: a review of English language literature on swearing and cursing in Western health settings
Teresa Elizabeth Stone, Margaret McMillan, and Mike Hazelton · 2015
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Us and them: identifying cyber hate on twitter across multiple protected characteristics
Pete Burnap and Matthew L Williams · 2016
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Our future language? English rulz OK, txtspk and mind-reading
Hal Hodson · 2016
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Survey of computational methods in cyberbullying research
Homa Hosseinmardi · 2016
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Abusive language detection in online user content
Chikashi Nobata, Joel Tetreault, Achint Thomas, Yashar Mehdad, and Yi Chang · 2016
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https://www.perspectiveapi.com
Perspective API · 2017
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https://api.textpatrol.tk
TextPatrol API · 2017
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NLP in a post-truth world
Robert Dale · 2017
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Deceiving Google’s Perspective API Built for Detecting Toxic Comments
Hossein Hosseini, Sreeram Kannan, Baosen Zhang, and Radha Poovendran · 2017
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Graph-based features for automatic online abuse detection
Etienne Papegnies, Vincent Labatut, Richard Dufour, and Georges Linares · 2017
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On obstructing obscenity obfuscation
Sergio Rojas-Galeano · 2017
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Towards crafting text adversarial samples
Suranjana Samanta and Sameep Mehta · 2017
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Ex Machina: Personal Attacks Seen at Scale
E. Wulczyn, N. Thain, and L. Dixon · 2017
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