Cristian Danescu-Niculescu-Mizil
Biographic Data
| ID | 4973705 |
|---|---|
| NAME | Cristian Danescu-Niculescu-Mizil |
| GIVEN NAMES | Cristian |
| FAMILY NAME | Danescu-Niculescu-Mizil |
| SIGNATURE | DANESCU-NICULESCU-MIZIL C |
| AFFILIATIONS | Cornell University |
| ORCID | 0000-0001-8533-6627 |
| VERIFIED | Yes |
| TOTAL WORKS | 4 |
| TOTAL CITATIONS | 10 |
| WORKS AS AUTHOR | 4 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2014 |
| LATEST PUBLICATION YEAR | 2021 |
| H-INDEX | 2 |
Message Impartiality in Social Media Discussions
Discourse on social media platforms is often plagued by acute polarization, with different camps promoting different perspectives on the issue at hand—compare, for example, the differences in the liberal and conservative discourse on the U.S. immigration debate. A large body of research has studied this phenomenon by focusing on the affiliation of groups and individuals. We propose a new finer-grained perspective: studying the impartiality of ind…
Les échos du pouvoir
Afin d’analyser les communautés en ligne, il est essentiel de comprendre les interactions sociales qui se tissent au sein des groupes. La plupart des travaux actuels portent sur des propriétés structurales – il s’agit souvent de déterminer qui s’adresse à qui et comment ces interactions forment des réseaux plus vastes. Les interactions elles-mêmes s’expriment cependant dans une forme langagière – qu’elle soit parlée ou écrite – et il est raisonna…
Community Identity and User Engagement in a Multi-Community Landscape
A community's identity defines and shapes its internal dynamics. Our current understanding of this interplay is mostly limited to glimpses gathered from isolated studies of individual communities. In this work we provide a systematic exploration of the nature of this relation across a wide variety of online communities. To this end we introduce a quantitative, language-based typology reflecting two key aspects of a community's identity: how disti…
How Community Feedback Shapes User Behavior
Social media systems rely on user feedback and rating mechanisms for personalization, ranking, and content filtering. However, when users evaluate content contributed by fellow users (e.g., by liking a post or voting on a comment), these evaluations create complex social feedback effects. This paper investigates how ratings on a piece of content affect its author's future behavior. By studying four large comment-based news communities, we find th…
How Community Feedback Shapes User Behavior
Social media systems rely on user feedback and rating mechanisms for personalization, ranking, and content filtering. However, when users evaluate content contributed by fellow users (e.g., by liking a post or voting on a comment), these evaluations create complex social feedback effects. This paper investigates how ratings on a piece of content affect its author's future behavior. By studying four large comment-based news communities, we find th…
Community Identity and User Engagement in a Multi-Community Landscape
A community's identity defines and shapes its internal dynamics. Our current understanding of this interplay is mostly limited to glimpses gathered from isolated studies of individual communities. In this work we provide a systematic exploration of the nature of this relation across a wide variety of online communities. To this end we introduce a quantitative, language-based typology reflecting two key aspects of a community's identity: how disti…
How Community Feedback Shapes User Behavior
Social media systems rely on user feedback and rating mechanisms for personalization, ranking, and content filtering. However, when users evaluate content contributed by fellow users (e.g., by liking a post or voting on a comment), these evaluations create complex social feedback effects. This paper investigates how ratings on a piece of content affect its author's future behavior. By studying four large comment-based news communities, we find th…
Community Identity and User Engagement in a Multi-Community Landscape
A community's identity defines and shapes its internal dynamics. Our current understanding of this interplay is mostly limited to glimpses gathered from isolated studies of individual communities. In this work we provide a systematic exploration of the nature of this relation across a wide variety of online communities. To this end we introduce a quantitative, language-based typology reflecting two key aspects of a community's identity: how disti…
Les échos du pouvoir
Afin d’analyser les communautés en ligne, il est essentiel de comprendre les interactions sociales qui se tissent au sein des groupes. La plupart des travaux actuels portent sur des propriétés structurales – il s’agit souvent de déterminer qui s’adresse à qui et comment ces interactions forment des réseaux plus vastes. Les interactions elles-mêmes s’expriment cependant dans une forme langagière – qu’elle soit parlée ou écrite – et il est raisonna…
Message Impartiality in Social Media Discussions
Discourse on social media platforms is often plagued by acute polarization, with different camps promoting different perspectives on the issue at hand—compare, for example, the differences in the liberal and conservative discourse on the U.S. immigration debate. A large body of research has studied this phenomenon by focusing on the affiliation of groups and individuals. We propose a new finer-grained perspective: studying the impartiality of ind…
Computer Science (3 works) · Opinion Dynamics and Social Influence (3 works) · Political science (3 works) · Social Media and Politics (3 works) · Complex Network Analysis Techniques (2 works) · Data science (2 works) · Psychology (2 works) · Social Psychology (2 works) · Social Psychology (2 works) · Sociology (2 works)