Alireza Mohammadinodooshan
Postdoktor
Bedriver forskning inom datavetenskaplig dataanalys (data science) med fokus på statistisk modellering och maskininlärning för att identifiera och analysera komplexa mönster i nätverk, text, bilder och andra datamodaliteter.
Publikationer
2026
Sentiment-Driven Differential Engagement: Hyperpartisan Vs. Non-hyperpartisan Users on X
Social Networks Analysis and Mining: 17th International Conference, ASONAM 2025, Niagara Falls, ON, Canada, August 25–28, 2025, Proceedings, Part II, s. 101-118, Artikel 10
(Konferensbidrag)
https://dx.doi.org/10.1007/978-3-032-13821-7_10
2025
Successful Rhetorics: How Do Linguistic Dimensions Affect User Engagement with Different News Categories on Twitter?
Proceedings of the Nineteenth International AAAI Conference on Web and Social Media, s. 1246-1261
(Konferensbidrag)
https://dx.doi.org/10.1609/icwsm.v19i1.35871
Public versus Less-Public News Engagement on Facebook: Patterns Across Bias and Reliability
PROCEEDINGS OF THE 17TH ACM WEB SCIENCE CONFERENCE, WEBSCI 2025, s. 437-448
(Konferensbidrag)
https://dx.doi.org/10.1145/3717867.3717912
Understanding Engagement Dynamics with (Un)Reliable News Publishers on Twitter
SOCIAL NETWORKS ANALYSIS AND MINING, ASONAM 2024, PT III, s. 36-47
(Konferensbidrag)
https://dx.doi.org/10.1007/978-3-031-78548-1_4
2024
Temporal Dynamics of User Engagement on Instagram: A Comparative Analysis of Album, Photo, and Video Interactions
Proceedings of the 16th ACM Web Science Conference, s. 224-234
(Konferensbidrag)
https://dx.doi.org/10.1145/3614419.3644029
