Understanding the Effect of Gender and Stance in Opinion Expression
            in Debates on "Abortion"

Durmus, Esin; Cardie, Claire

doi:10.18653/v1/w18-1110

Cited by 6 publications

(2 citation statements)

References 12 publications

(13 reference statements)

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“…Regarding content-based models for the prediction of stance and socio-demographic properties, Durmus and Cardie (2018) studied discriminating tokens in the joined prediction of gender and stance towards abortion, finding that these correlate to the two labels differently, hinting towards our hypothesized topical bias for tokens that correlate more with stance than gender.…”

Section: Related Workmentioning

confidence: 99%

OK Boomer: Probing the socio-demographic Divide in Echo Chambers

Henri-Jacques¹,

Sakketou²,

Flek³

2022

Proceedings of the Tenth International Workshop on Natural Language Processing for Social Media

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Social media platforms such as Twitter or Reddit have become an integral part in political opinion formation and discussions, accompanied by potential echo chamber forming. In this paper, we examine the relationships between the interaction patterns, the opinion polarity, and the socio-demographic characteristics in discussion communities on Reddit. On a dataset of over 2 million posts coming from over 20k users, we combine network community detection algorithms, reliable stance polarity annotations, and NLPbased socio-demographic estimations, to identify echo chambers and understand their properties at scale. We show that the separability of the interaction communities is more strongly correlated to the relative socio-demographic divide, rather than the stance polarity gap size. We further demonstrate that the sociodemographic classifiers have a strong topical bias and should be used with caution, merely for the relative community difference comparisons within a topic, rather than for any absolute labeling.

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Section: Related Workmentioning

confidence: 99%

OK Boomer: Probing the socio-demographic Divide in Echo Chambers

Henri-Jacques¹,

Sakketou²,

Flek³

2022

Proceedings of the Tenth International Workshop on Natural Language Processing for Social Media

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show abstract

Section: Related Workmentioning

confidence: 99%

Proceedings of the Tenth International Workshop on Natural Language Processing for Social Media

2022

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Happy 10th Anniversary to SocialNLP!It is our great pleasure to welcome you to the Tenth Workshop on Natural Language Processing for Social Media-SocialNLP 2022, associated with NAACL 2022. SocialNLP is an inter-disciplinary area of natural language processing (NLP) and social computing. We hold SocialNLP twice a year: one in the NLP venue, the other in the associated venue such as those for web technology or artificial intelligence. This year the other version has been successfully held in conjunction with TheWebConf 2022 (formerly WWW), and we are very happily looking forward to the NLP version in NAACL 2022. We are very glad that the number of submissions to this year's workshop keeps increasing, and the submissions themselves were still of high quality with the accepted threshold of 3.33 (maximum 5), which again leads to a competitive selection process. We received submissions from Asia, Europe, and the United States. Considering the review process is rigorous and we want to encourage authors to participate in the workshop, we accepted 8 oral papers. These exciting papers include novel and practical topics for researchers working on NLP for social media, such as bias mitigation, domain transfer, and dataset constructed for the newly emerged research problems. We believe they will benefit our research community.On this 10th anniversary, we would like to share our happiness and celebrate the success together with our community members with the special speaker reunion event. Most of our previous invited speakers, including Prof.

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Modeling the Factors of User Success in Online Debate

Durmus

Cardie

2019

The World Wide Web Conference

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Understanding the Effect of Gender and Stance in Opinion Expression in Debates on "Abortion"

Cited by 6 publications

References 12 publications

OK Boomer: Probing the socio-demographic Divide in Echo Chambers

OK Boomer: Probing the socio-demographic Divide in Echo Chambers

Proceedings of the Tenth International Workshop on Natural Language Processing for Social Media

Modeling the Factors of User Success in Online Debate

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