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NLP+CSS@ACL 2017: Vancouver, Canada
- Dirk Hovy, Svitlana Volkova, David Bamman, David Jurgens, Brendan O'Connor, Oren Tsur, A. Seza Dogruöz:

Proceedings of the Second Workshop on NLP and Computational Social Science, NLP+CSS@ACL 2017, Vancouver, Canada, August 3, 2017. Association for Computational Linguistics 2017, ISBN 978-1-945626-65-4 - Nikola Ljubesic, Darja Fiser, Tomaz Erjavec:

Language-independent Gender Prediction on Twitter. 1-6 - Akshita Jha

, Radhika Mamidi:
When does a compliment become sexist? Analysis and classification of ambivalent sexism using twitter data. 7-16 - Daniel Preotiuc-Pietro, Jordan Carpenter, Lyle H. Ungar:

Personality Driven Differences in Paraphrase Preference. 17-26 - Trevor Martin:

community2vec: Vector representations of online communities encode semantic relationships. 27-31 - Aseel Addawood, Rezvaneh Rezapour, Omid Abdar, Jana Diesner:

Telling Apart Tweets Associated with Controversial versus Non-Controversial Topics. 32-41 - Goran Glavas, Federico Nanni, Simone Paolo Ponzetto:

Cross-Lingual Classification of Topics in Political Texts. 42-46 - Andrea Zielinski, Peter Mutschke:

Mining Social Science Publications for Survey Variables. 47-52 - Shrimai Prabhumoye, Samridhi Choudhary, Evangelia Spiliopoulou, Christopher Bogart, Carolyn P. Rosé

, Alan W. Black:
Linguistic Markers of Influence in Informal Interactions. 53-62 - Rachael Tatman, Leo Stewart, Amandalynne Paullada, Emma S. Spiro:

Non-lexical Features Encode Political Affiliation on Twitter. 63-67 - Gabriel Murray:

Modelling Participation in Small Group Social Sequences with Markov Rewards Analysis. 68-72 - Michael Yoder

, Shruti Rijhwani, Carolyn P. Rosé
, Lori S. Levin:
Code-Switching as a Social Act: The Case of Arabic Wikipedia Talk Pages. 73-82 - Zach Wood-Doughty, Michael Smith, David A. Broniatowski, Mark Dredze:

How Does Twitter User Behavior Vary Across Demographic Groups? 83-89 - Kristen Johnson, I-Ta Lee, Dan Goldwasser:

Ideological Phrase Indicators for Classification of Political Discourse Framing on Twitter. 90-99

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