Understanding and discovering deliberate self-harm content in social media

Yilin Wang, Jiliang Tang, Jundong Li, Baoxin Li, Yali Wan, Clayton Mellina, Neil O’Hare, Yi Chang

Research output: Chapter in Book/Report/Conference proceedingConference contribution

9 Citations (Scopus)

Abstract

Studies suggest that self-harm users found it easier to discuss self-harm-related thoughts and behaviors using social media than in the physical world. Given the enormous and increasing volume of social media data, on-line self-harm content is likely to be buried rapidly by other normal content. To enable voices of self-harm users to be heard, it is important to distinguish self-harm content from other types of content. In this paper, we aim to understand self-harm content and provide automatic approaches to its detection. We first perform a comprehensive analysis on self-harm social media using different input cues. Our analysis, the first of its kind in large scale, reveals a number of important findings. Then we propose frameworks that incorporate the findings to discover self-harm content under both supervised and unsupervised settings. Our experimental results on a large social media dataset from Flickr demonstrate the effectiveness of the proposed frameworks and the importance of our findings in discovering self-harm content.

Original languageEnglish (US)
Title of host publication26th International World Wide Web Conference, WWW 2017
PublisherInternational World Wide Web Conferences Steering Committee
Pages93-102
Number of pages10
ISBN (Print)9781450349147
DOIs
StatePublished - Jan 1 2017
Event26th International World Wide Web Conference, WWW 2017 - Perth, Australia
Duration: Apr 3 2017Apr 7 2017

Other

Other26th International World Wide Web Conference, WWW 2017
CountryAustralia
CityPerth
Period4/3/174/7/17

Keywords

  • Computational health
  • Mental health
  • Mul-timodal data mining
  • Social media mining
  • User modeling

ASJC Scopus subject areas

  • Software
  • Computer Networks and Communications

Cite this

Wang, Y., Tang, J., Li, J., Li, B., Wan, Y., Mellina, C., ... Chang, Y. (2017). Understanding and discovering deliberate self-harm content in social media. In 26th International World Wide Web Conference, WWW 2017 (pp. 93-102). [3052555] International World Wide Web Conferences Steering Committee. https://doi.org/10.1145/3038912.3052555

Understanding and discovering deliberate self-harm content in social media. / Wang, Yilin; Tang, Jiliang; Li, Jundong; Li, Baoxin; Wan, Yali; Mellina, Clayton; O’Hare, Neil; Chang, Yi.

26th International World Wide Web Conference, WWW 2017. International World Wide Web Conferences Steering Committee, 2017. p. 93-102 3052555.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Wang, Y, Tang, J, Li, J, Li, B, Wan, Y, Mellina, C, O’Hare, N & Chang, Y 2017, Understanding and discovering deliberate self-harm content in social media. in 26th International World Wide Web Conference, WWW 2017., 3052555, International World Wide Web Conferences Steering Committee, pp. 93-102, 26th International World Wide Web Conference, WWW 2017, Perth, Australia, 4/3/17. https://doi.org/10.1145/3038912.3052555
Wang Y, Tang J, Li J, Li B, Wan Y, Mellina C et al. Understanding and discovering deliberate self-harm content in social media. In 26th International World Wide Web Conference, WWW 2017. International World Wide Web Conferences Steering Committee. 2017. p. 93-102. 3052555 https://doi.org/10.1145/3038912.3052555
Wang, Yilin ; Tang, Jiliang ; Li, Jundong ; Li, Baoxin ; Wan, Yali ; Mellina, Clayton ; O’Hare, Neil ; Chang, Yi. / Understanding and discovering deliberate self-harm content in social media. 26th International World Wide Web Conference, WWW 2017. International World Wide Web Conferences Steering Committee, 2017. pp. 93-102
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