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Challenges in Modifying Existing Scales for Detecting Harassment in Individual Tweets

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Item Summary Guberman, Joshua Hemphill, Libby 2016-12-29T00:53:24Z 2016-12-29T00:53:24Z 2017-01-04
dc.identifier.isbn 978-0-9981331-0-2
dc.description.abstract In an effort to create new sociotechnical tools to combat online harassment, we developed a scale to detect and measure verbal violence within individual tweets. Unfortunately, we found that the scale, based on scales effective at detecting harassment offline, was unreliable for tweets. Here, we begin with information about the development and validation of our scale, then discuss the scale’s shortcomings for detecting harassment in tweets, and explore what we can learn from this scale’s failures. We explore how rarity, context, and individual coder’s differences create challenges for detecting verbal violence in individual tweets. We also examine differences in on- and offline harassment that limit the utility of existing harassment measures for online contexts. We close with a discussion of potential avenues for future work in automated harassment detection.
dc.format.extent 10 pages
dc.language.iso eng
dc.relation.ispartof Proceedings of the 50th Hawaii International Conference on System Sciences
dc.rights Attribution-NonCommercial-NoDerivatives 4.0 International
dc.subject content moderation
dc.subject online harassment
dc.subject social media
dc.subject Twitter
dc.subject verbal violence
dc.title Challenges in Modifying Existing Scales for Detecting Harassment in Individual Tweets
dc.type Conference Paper
dc.type.dcmi Text
dc.identifier.doi 10.24251/HICSS.2017.267
Appears in Collections: Social Media: Culture, Identity, and Inclusion Minitrack

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