Dana Nguyen

University of California, Santa Barbara

Author Statistics

Papers

Citation

H-Index

i-10 index

Research Trends

Author Order

Document Type

Co-Authors

Mai ElSherief

IT University of Copenhagen

Elizabeth Belding

University of California, Santa Barbara

Shirin Nilizadeh

The University of Texas at Arlington

Vivek Kulkarni

Twitter (United States)

Giovanni Vigna

University of California, Santa Barbara

William Yang Wang

University of British Columbia

Alexandra Olteanu

Microsoft (Canada)

Emre Kıcıman

Microsoft (United States)

Cooperative Institutions

University of California, Santa Barbara

Georgia Institute of Technology

Stanford University

University of California, Berkeley

University of Michigan–Ann Arbor

University of California System

Microsoft Research (United Kingdom)

Microsoft (United States)

IT University of Copenhagen

Tokyo Institute of Technology

Author Statistics

Papers

Citation

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i-10 index

Research Field

Peer to Peer Hate: Hate Speech Instigators and Their Targets

arXiv (Cornell University) (2018)

Mai ElSherief Shirin Nilizadeh Dana Nguyen Giovanni Vigna Elizabeth Belding

While social media has become an empowering agent to individual voices and freedom of expression, it also facilitates anti-social behaviors including online harassment, cyberbullying, and hate speech. In this paper, we present the first comparative study of hate speech instigators and target users on Twitter. Through a multi-step classification process, we curate a comprehensive hate speech dataset capturing various types of hate. We study the distinctive characteristics of hate instigators and targets in terms of their profile self-presentation, activities, and online visibility. We find that hate instigators target more popular and high profile Twitter users, and that participating in hate speech can result in greater online visibility. We conduct a personality analysis of hate instigators and targets and show that both groups have eccentric personality facets that differ from the general Twitter population. Our results advance the state of the art of understanding online hate speech engagement.

Visibility

Harassment

10.48550/arxiv.1804.04649

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Citations (32)

External Information Sharing on Health Forums: An Exploration

Proceedings of the International AAAI Conference on Web and Social Media (2020)

Dana Nguyen Alexandra Olteanu Emre Kıcıman

Online health forums are an important avenue for receiving support and learning about fellow patients' experiences with similar diagnoses. We seek to characterize the external information shared (via web links) on health forums as a proxy to participants' information needs. For this purpose, using a dataset of web links shared publicly on a lung cancer forum over a period of 16 years, we perform a comparative analysis with three different website typologies, uncovering a diverse ecosystem of websites. We also examine typological variations as this forum gains and then loses popularity over time.

Popularity

Proxy (statistics)

Information Sharing

Online discussion

10.1609/icwsm.v14i1.7365

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Citations (1)

Peer to Peer Hate: Hate Speech Instigators and Their Targets

Proceedings of the International AAAI Conference on Web and Social Media (2018)

Mai ElSherief Shirin Nilizadeh Dana Nguyen Giovanni Vigna Elizabeth Belding

Visibility

Harassment

10.1609/icwsm.v12i1.15038

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Citations (140)

Hate Lingo: A Target-Based Linguistic Analysis of Hate Speech in Social Media

Proceedings of the International AAAI Conference on Web and Social Media (2018)

Mai ElSherief Vivek Kulkarni Dana Nguyen William Yang Wang Elizabeth Belding

While social media empowers freedom of expression and individual voices, it also enables anti-social behavior, online harassment, cyberbullying, and hate speech. In this paper, we deepen our understanding of online hate speech by focusing on a largely neglected but crucial aspect of hate speech -- its target: either directed towards a specific person or entity, or generalized towards a group of people sharing a common protected characteristic. We perform the first linguistic and psycholinguistic analysis of these two forms of hate speech and reveal the presence of interesting markers that distinguish these types of hate speech. Our analysis reveals that Directed hate speech, in addition to being more personal and directed, is more informal, angrier, and often explicitly attacks the target (via name calling) with fewer analytic words and more words suggesting authority and influence. Generalized hate speech, on the other hand, is dominated by religious hate, is characterized by the use of lethal words such as murder, exterminate, and kill; and quantity words such as million and many. Altogether, our work provides a data-driven analysis of the nuances of online-hate speech that enables not only a deepened understanding of hate speech and its social implications, but also its detection.

Harassment

Freedom of Expression

Expression (computer science)

Free speech

10.1609/icwsm.v12i1.15041

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Citations (254)

Hate Lingo: A Target-based Linguistic Analysis of Hate Speech in Social Media

arXiv (Cornell University) (2018)

Mai ElSherief Vivek Kulkarni Dana Nguyen William Yang Wang Elizabeth Belding

While social media empowers freedom of expression and individual voices, it also enables anti-social behavior, online harassment, cyberbullying, and hate speech. In this paper, we deepen our understanding of online hate speech by focusing on a largely neglected but crucial aspect of hate speech -- its target: either "directed" towards a specific person or entity, or "generalized" towards a group of people sharing a common protected characteristic. We perform the first linguistic and psycholinguistic analysis of these two forms of hate speech and reveal the presence of interesting markers that distinguish these types of hate speech. Our analysis reveals that Directed hate speech, in addition to being more personal and directed, is more informal, angrier, and often explicitly attacks the target (via name calling) with fewer analytic words and more words suggesting authority and influence. Generalized hate speech, on the other hand, is dominated by religious hate, is characterized by the use of lethal words such as murder, exterminate, and kill; and quantity words such as million and many. Altogether, our work provides a data-driven analysis of the nuances of online-hate speech that enables not only a deepened understanding of hate speech and its social implications but also its detection.

Harassment

Expression (computer science)

Freedom of Expression

10.48550/arxiv.1804.04257

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Citations (50)

#NotOkay: Understanding Gender-Based Violence in Social Media

Proceedings of the International AAAI Conference on Web and Social Media (2017)

Mai ElSherief Elizabeth Belding Dana Nguyen

Gender-based violence (GBV) is a global epidemic that is powered, in part, by a culture of silence and denial of the seriousness of its repercussions. In this paper, we present one of the first investigations of GBV in social media. Considering Twitter as an open pervasive platform that provides means for open discourse and community engagement, we study user engagement with GBV related posts, and age and gender dynamics of users who post GBV content. We also study the specific language nuances of GBV-related posts. We find evidence for increased engagement with GBV-related tweets in comparison to other non-GBV tweets. Our hashtag-based topical analysis shows that users engage online in commentary and discussion about political, social movement-based, and commonplace GBV incidents. Finally, with the rise of public figures encouraging women to speak up, we observe a unique blended experience of non-anonymous self-reported assault stories and an online community of support around victims of GBV. We discuss the role of social media and online anti-GBV campaigns in enabling an open conversation about GBV topics and how these conversations provide a lens into a socially complex and vulnerable issue like GBV.

Seriousness

Silence

Denial

Public Engagement

10.1609/icwsm.v11i1.14877

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Citations (46)