Dominic Difranzo
Biographic Data
| ID | 354616 |
|---|---|
| NAME | Dominic Difranzo |
| GIVEN NAMES | Dominic |
| FAMILY NAME | Difranzo |
| SIGNATURE | DIFRANZO D |
| AFFILIATIONS | Lehigh University |
| ORCID | 0000-0001-6039-1806 |
| VERIFIED | Yes |
| TOTAL WORKS | 7 |
| TOTAL CITATIONS | 12 |
| AUTHOR COUNT | 7 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2014 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 2 |
Rethinking digital trace inference in political communication
Digital trace data such as likes, shares, and comments are widely used to infer what captures attention in digital political communication. Yet these visible signals may not map closely onto underlying attention, especially in political contexts where users may monitor content without publicly engaging with it. We examine this attention-engagement discrepancy in a 2 (content domain: political vs. nonpolitical) × 3 (feed curation: engagement-based…
Standing up to problematic content on social media
Problematic content on social media can be countered through objections raised by other community members. While intended to deter offenses, objections can influence the surrounding audience observing the interaction, leading to their collective approval or disapproval. The results of an experiment manipulating seven types of objections against common types of offenses indicate audiences’ support for objections that implore via appeals and disapp…
The Impact of What Others Do, Approve Of, and Expect You to Do
There are many factors that account for disclosure of private information on social network sites, but a potentially powerful determinant that remains understudied is social norms, which refer to perceptions of what other people do, approve of, and expect us to do on social media. To address this gap, we conducted an in-depth analysis of descriptive, injunctive, and subjective norms for verbal and visual disclosure on Facebook and Instagram, usin…
Shall AI moderators be made visible? Perception of accountability and trust in moderation systems on social media platforms
This study examines how visibility of a content moderator and ambiguity of moderated content influence perception of the moderation system in a social media environment. In the course of a two-day pre-registered experiment conducted in a realistic social media simulation, participants encountered moderated comments that were either unequivocally harsh or ambiguously worded, and the source of moderation was either unidentified, or attributed to ot…
Do You Care Who Flagged This Post? Effects of Moderator Visibility on Bystander Behavior
This study evaluates whether increasing information visibility around the identity of a moderator influences bystanders’ likelihood to flag subsequent unmoderated harassing comments. In a 2-day preregistered experiment conducted in a realistic social media simulation, participants encountered ambiguous or unambiguous harassment comments, which were ostensibly flagged by either other users, an automated system (AI), or an unidentified moderation s…
Robot-Assisted Tower Construction—A Method to Study the Impact of a Robot’s Allocation Behavior on Interpersonal Dynamics and Collaboration in Groups
Research on human-robot collaboration or human-robot teaming, has focused predominantly on understanding and enabling collaboration between a single robot and a single human. Extending human-robot collaboration research beyond the dyad, raises novel questions about how a robot should allocate resources among group members and about what the consequences of such allocation are for a group’s social dynamics and outcomes. Methodological advances are…
Social Networking on the World Wide Web
The Impact of What Others Do, Approve Of, and Expect You to Do
There are many factors that account for disclosure of private information on social network sites, but a potentially powerful determinant that remains understudied is social norms, which refer to perceptions of what other people do, approve of, and expect us to do on social media. To address this gap, we conducted an in-depth analysis of descriptive, injunctive, and subjective norms for verbal and visual disclosure on Facebook and Instagram, usin…
Robot-Assisted Tower Construction—A Method to Study the Impact of a Robot’s Allocation Behavior on Interpersonal Dynamics and Collaboration in Groups
Research on human-robot collaboration or human-robot teaming, has focused predominantly on understanding and enabling collaboration between a single robot and a single human. Extending human-robot collaboration research beyond the dyad, raises novel questions about how a robot should allocate resources among group members and about what the consequences of such allocation are for a group’s social dynamics and outcomes. Methodological advances are…
Do You Care Who Flagged This Post? Effects of Moderator Visibility on Bystander Behavior
This study evaluates whether increasing information visibility around the identity of a moderator influences bystanders’ likelihood to flag subsequent unmoderated harassing comments. In a 2-day preregistered experiment conducted in a realistic social media simulation, participants encountered ambiguous or unambiguous harassment comments, which were ostensibly flagged by either other users, an automated system (AI), or an unidentified moderation s…
Shall AI moderators be made visible? Perception of accountability and trust in moderation systems on social media platforms
This study examines how visibility of a content moderator and ambiguity of moderated content influence perception of the moderation system in a social media environment. In the course of a two-day pre-registered experiment conducted in a realistic social media simulation, participants encountered moderated comments that were either unequivocally harsh or ambiguously worded, and the source of moderation was either unidentified, or attributed to ot…
Social Networking on the World Wide Web
Robot-Assisted Tower Construction—A Method to Study the Impact of a Robot’s Allocation Behavior on Interpersonal Dynamics and Collaboration in Groups
Research on human-robot collaboration or human-robot teaming, has focused predominantly on understanding and enabling collaboration between a single robot and a single human. Extending human-robot collaboration research beyond the dyad, raises novel questions about how a robot should allocate resources among group members and about what the consequences of such allocation are for a group’s social dynamics and outcomes. Methodological advances are…
Do You Care Who Flagged This Post? Effects of Moderator Visibility on Bystander Behavior
This study evaluates whether increasing information visibility around the identity of a moderator influences bystanders’ likelihood to flag subsequent unmoderated harassing comments. In a 2-day preregistered experiment conducted in a realistic social media simulation, participants encountered ambiguous or unambiguous harassment comments, which were ostensibly flagged by either other users, an automated system (AI), or an unidentified moderation s…
Shall AI moderators be made visible? Perception of accountability and trust in moderation systems on social media platforms
This study examines how visibility of a content moderator and ambiguity of moderated content influence perception of the moderation system in a social media environment. In the course of a two-day pre-registered experiment conducted in a realistic social media simulation, participants encountered moderated comments that were either unequivocally harsh or ambiguously worded, and the source of moderation was either unidentified, or attributed to ot…
Standing up to problematic content on social media
Problematic content on social media can be countered through objections raised by other community members. While intended to deter offenses, objections can influence the surrounding audience observing the interaction, leading to their collective approval or disapproval. The results of an experiment manipulating seven types of objections against common types of offenses indicate audiences’ support for objections that implore via appeals and disapp…
The Impact of What Others Do, Approve Of, and Expect You to Do
There are many factors that account for disclosure of private information on social network sites, but a potentially powerful determinant that remains understudied is social norms, which refer to perceptions of what other people do, approve of, and expect us to do on social media. To address this gap, we conducted an in-depth analysis of descriptive, injunctive, and subjective norms for verbal and visual disclosure on Facebook and Instagram, usin…
Rethinking digital trace inference in political communication
Digital trace data such as likes, shares, and comments are widely used to infer what captures attention in digital political communication. Yet these visible signals may not map closely onto underlying attention, especially in political contexts where users may monitor content without publicly engaging with it. We examine this attention-engagement discrepancy in a 2 (content domain: political vs. nonpolitical) × 3 (feed curation: engagement-based…
Psychology (5 works) · Social Media and Politics (5 works) · Computer Science (4 works) · Social media (4 works) · Hate Speech and Cyberbullying Detection (3 works) · Perception (3 works) · Social Psychology (3 works) · World Wide Web (3 works) · Bullying, Victimization, and Aggression (2 works) · Internet privacy (2 works)