Shagun Jhaver
Biographic Data
| ID | 275251 |
|---|---|
| NAME | Shagun Jhaver |
| GIVEN NAMES | Shagun |
| FAMILY NAME | Jhaver |
| SIGNATURE | JHAVER S |
| AFFILIATIONS | Rutgers, the State University of New Jersey |
| ORCID | 0000-0002-6728-7101 |
| VERIFIED | Yes |
| TOTAL WORKS | 8 |
| TOTAL CITATIONS | 10 |
| AUTHOR COUNT | 8 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2018 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 2 |
Personal moderation configurations on Facebook
PPersonal moderation tools on social media platforms let users control their news feeds by configuring acceptable toxicity thresholds for their feed content or muting inappropriate accounts. This research examines how four critical psychosocial factors — fear of missing out (FoMO), social media addiction, subjective norms, and trust in moderation systems — shape Facebook users’ configuration of these tools. Findings from surveying a nationally re…
Examining racial stereotypes in YouTube autocomplete suggestions
Autocomplete is a popular search feature that predicts queries based on user input and guides users to a set of potentially relevant suggestions. In this study, we examine what YouTube autocompletes suggest to users seeking information about race on the platform. Specifically, we perform an algorithm output audit of autocomplete suggestions for input queries about four racial groups and examine the stereotypes they embody. Using critical discours…
Moral disengagement and content moderation attitudes
Social media users’ preferences for various content moderation interventions have been widely studied, but the implicit beliefs that connect to these preferences are less understood. Using a nationally representative survey data set, we investigate how end-users’ attitudes toward moderating harmful speech online relate to their offline racial attitudes. We find that racially conservative beliefs are significantly positively related to participant…
Examining how search engine users understand the production of Autocomplete suggestions
Autocomplete is a popular search feature that automatically generates query suggestions for any keywords entered in the search bar. In this research, I examine regular end-users’ folk theories of how general-purpose search engines produce such suggestions. Drawing on interviews with 20 search engine users, I found that users conceptualize Autocomplete as an automated agent that is influenced by three main factors: (1) searcher’s personal search h…
Online knowledge production in polarized political memes
Visual culture has long been deployed by actors across the political spectrum as a tool of political mobilization and has recently incorporated new elements such as memes, GIFs, and emojis. In this study, we analyze the top-circulated Facebook memes relating to critical race theory (CRT) posted between May 2021 and May 2022 to investigate their visual and textual appeals. Using image clustering techniques and critical discourse analysis (CDA), we…
Do users want platform moderation or individual control? Examining the role of third-person effects and free speech support in shaping moderation preferences
This study examines social media users’ preferences for the use of platform-wide moderation in comparison to user-controlled, personalized moderation tools to regulate three categories of norm-violating content—hate speech, sexually explicit content, and violent content. Via a nationally representative survey of 984 US adults, we explore the influence of third-person effects and support for freedom of expression on this choice. We find that perce…
Decentralizing Platform Power
Many have criticized the centralized and unaccountable governance of prominent online social platforms, leading to renewed interest in platform governance that incorporates multiple centers of power. Decentralization of power can arise horizontally, through parallel communities, each with local administration, and vertically, through multiple hierarchies of overlapping jurisdiction. Drawing from literature on federalism and polycentricity in anal…
The view from the other side
In this paper, we use mixed methods to study a controversial Internet site: The Kotaku in Action (KiA) subreddit. Members of KiA are part of GamerGate, a distributed social movement. We present an emic account of what takes place on KiA: who are they, what are their goals and beliefs, and what rules do they follow. Members of GamerGate in general and KiA in particular have often been accused of harassment. However, KiA site policies explicitly pr…
Do users want platform moderation or individual control? Examining the role of third-person effects and free speech support in shaping moderation preferences
This study examines social media users’ preferences for the use of platform-wide moderation in comparison to user-controlled, personalized moderation tools to regulate three categories of norm-violating content—hate speech, sexually explicit content, and violent content. Via a nationally representative survey of 984 US adults, we explore the influence of third-person effects and support for freedom of expression on this choice. We find that perce…
Online knowledge production in polarized political memes
Visual culture has long been deployed by actors across the political spectrum as a tool of political mobilization and has recently incorporated new elements such as memes, GIFs, and emojis. In this study, we analyze the top-circulated Facebook memes relating to critical race theory (CRT) posted between May 2021 and May 2022 to investigate their visual and textual appeals. Using image clustering techniques and critical discourse analysis (CDA), we…
Decentralizing Platform Power
Many have criticized the centralized and unaccountable governance of prominent online social platforms, leading to renewed interest in platform governance that incorporates multiple centers of power. Decentralization of power can arise horizontally, through parallel communities, each with local administration, and vertically, through multiple hierarchies of overlapping jurisdiction. Drawing from literature on federalism and polycentricity in anal…
The view from the other side
In this paper, we use mixed methods to study a controversial Internet site: The Kotaku in Action (KiA) subreddit. Members of KiA are part of GamerGate, a distributed social movement. We present an emic account of what takes place on KiA: who are they, what are their goals and beliefs, and what rules do they follow. Members of GamerGate in general and KiA in particular have often been accused of harassment. However, KiA site policies explicitly pr…
Do users want platform moderation or individual control? Examining the role of third-person effects and free speech support in shaping moderation preferences
This study examines social media users’ preferences for the use of platform-wide moderation in comparison to user-controlled, personalized moderation tools to regulate three categories of norm-violating content—hate speech, sexually explicit content, and violent content. Via a nationally representative survey of 984 US adults, we explore the influence of third-person effects and support for freedom of expression on this choice. We find that perce…
Decentralizing Platform Power
Many have criticized the centralized and unaccountable governance of prominent online social platforms, leading to renewed interest in platform governance that incorporates multiple centers of power. Decentralization of power can arise horizontally, through parallel communities, each with local administration, and vertically, through multiple hierarchies of overlapping jurisdiction. Drawing from literature on federalism and polycentricity in anal…
Online knowledge production in polarized political memes
Visual culture has long been deployed by actors across the political spectrum as a tool of political mobilization and has recently incorporated new elements such as memes, GIFs, and emojis. In this study, we analyze the top-circulated Facebook memes relating to critical race theory (CRT) posted between May 2021 and May 2022 to investigate their visual and textual appeals. Using image clustering techniques and critical discourse analysis (CDA), we…
Personal moderation configurations on Facebook
PPersonal moderation tools on social media platforms let users control their news feeds by configuring acceptable toxicity thresholds for their feed content or muting inappropriate accounts. This research examines how four critical psychosocial factors — fear of missing out (FoMO), social media addiction, subjective norms, and trust in moderation systems — shape Facebook users’ configuration of these tools. Findings from surveying a nationally re…
Examining racial stereotypes in YouTube autocomplete suggestions
Autocomplete is a popular search feature that predicts queries based on user input and guides users to a set of potentially relevant suggestions. In this study, we examine what YouTube autocompletes suggest to users seeking information about race on the platform. Specifically, we perform an algorithm output audit of autocomplete suggestions for input queries about four racial groups and examine the stereotypes they embody. Using critical discours…
Moral disengagement and content moderation attitudes
Social media users’ preferences for various content moderation interventions have been widely studied, but the implicit beliefs that connect to these preferences are less understood. Using a nationally representative survey data set, we investigate how end-users’ attitudes toward moderating harmful speech online relate to their offline racial attitudes. We find that racially conservative beliefs are significantly positively related to participant…
Examining how search engine users understand the production of Autocomplete suggestions
Autocomplete is a popular search feature that automatically generates query suggestions for any keywords entered in the search bar. In this research, I examine regular end-users’ folk theories of how general-purpose search engines produce such suggestions. Drawing on interviews with 20 search engine users, I found that users conceptualize Autocomplete as an automated agent that is influenced by three main factors: (1) searcher’s personal search h…
Social Media and Politics (5 works) · Computer Science (4 works) · Hate Speech and Cyberbullying Detection (4 works) · Gender, Feminism, and Media (3 works) · Moderation (3 works) · Political science (3 works) · Social media (3 works) · Sociology (3 works) · Law (2 works) · Misinformation and Its Impacts (2 works)