Detection and Analysis of Self-Disclosure in Online News Commentaries

Author:

Umar Prasanna1,Squicciarini Anna1,Rajtmajer Sarah1

Affiliation:

1. Pennsylvania State University University Park, Pennsylvania

Publisher

ACM Press

Reference34 articles.

1. Olga Abramova, Amina Wagner, Hanna Krasnova, and Peter Buxmann. 2017. Understanding Self-Disclosure on Social Networking Sites-A Literature Review. Technical Report. Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).

2. JinYeong Bak, Chin-Yew Lin, and Alice Oh. 2014. Self-disclosure topic model for classifying and analyzing Twitter conversations. In Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing (EMNLP). 1986-1996.

3. Jin Yeong Bak, Suin Kim, and Alice Oh. 2012. Self-disclosure and relationship strength in Twitter conversations. In Proceedings of the 50th Annual Meeting of the Association for Computational Linguistics: Short Papers-Volume 2. Association for Computational Linguistics, 60-64.

4. Azy Barak and Orit Gluck-Ofri. 2007. Degree and reciprocity of self-disclosure in online forums. CyberPsychology & Behavior 10, 3 (2007), 407-417.

5. Jayendra Barua, Dhaval Patel, and Vikram Goyal. 2015. TiDE: Template-Independent Discourse Data Extraction. In International Conference on Big Data Analytics and Knowledge Discovery. Springer, 149-162.

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