TY - GEN
T1 - #metoo through the lens of social media
AU - Manikonda, Lydia
AU - Beigi, Ghazaleh
AU - Kambhampati, Subbarao
AU - Liu, Huan
N1 - Funding Information: Acknowledgements. This research is supported in part by a Google Faculty Research Award, an AFOSR grant FA9550-18-1-0067, the ONR grants N00014161-2892,N00014-13-1-0176,N00014-13-1-0519, N00014-15-1-2027, and the NASA grant NNX17AD06G. Publisher Copyright: © 2018, Springer International Publishing AG, part of Springer Nature.
PY - 2018
Y1 - 2018
N2 - Sexual abuse – a highly stigmatized topic in the society has spurred a revolution in the recent days especially through the shared posts on social media platforms via attaching the hashtag #metoo. Individuals from different backgrounds and ethnicities began sharing on the online venues about their personal experiences of getting sexually assaulted. This paper makes an initial attempt to asses the public reactions and emotions by utilizing the publicly shared #metoo posts by performing a comparative analysis of the tweets shared on Twitter as well as on Reddit. Though nearly equal ratios of negative and positive posts are shared on both platforms, Reddit posts are focused on the sexual assaults within families and workplaces while Twitter posts are on showing empathy and encouraging others to continue the #metoo movement. The data collected in this research helps in the preliminary analysis of the user engagement, discussion topics, word connotations and sentiment with respect to the #metoo movement.
AB - Sexual abuse – a highly stigmatized topic in the society has spurred a revolution in the recent days especially through the shared posts on social media platforms via attaching the hashtag #metoo. Individuals from different backgrounds and ethnicities began sharing on the online venues about their personal experiences of getting sexually assaulted. This paper makes an initial attempt to asses the public reactions and emotions by utilizing the publicly shared #metoo posts by performing a comparative analysis of the tweets shared on Twitter as well as on Reddit. Though nearly equal ratios of negative and positive posts are shared on both platforms, Reddit posts are focused on the sexual assaults within families and workplaces while Twitter posts are on showing empathy and encouraging others to continue the #metoo movement. The data collected in this research helps in the preliminary analysis of the user engagement, discussion topics, word connotations and sentiment with respect to the #metoo movement.
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U2 - 10.1007/978-3-319-93372-6_13
DO - 10.1007/978-3-319-93372-6_13
M3 - Conference contribution
SN - 9783319933719
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 104
EP - 110
BT - Social, Cultural, and Behavioral Modeling - 11th International Conference, SBP-BRiMS 2018, Proceedings
A2 - Bisgin, Halil
A2 - Thomson, Robert
A2 - Hyder, Ayaz
A2 - Dancy, Christopher
PB - Springer Verlag
T2 - 11th International Conference on Social Computing, Behavioral-Cultural Modeling, and Prediction conference and Behavior Representation in Modeling and Simulation, SBP-BRiMS 2018
Y2 - 10 July 2018 through 13 July 2018
ER -