Measuring and Detecting Virality on Social Media: The Case of Twitter’s Viral Tweets Topic-Reference-Cited by-同舟云学术

Measuring and Detecting Virality on Social Media: The Case of Twitter’s Viral Tweets Topic

Published:2023-04-30 Issue: Volume: Page:
ISSN:
Container-title:Companion Proceedings of the ACM Web Conference 2023
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Author:

Elmas Tuğrulcan¹^ORCID,Stephane Selim²^ORCID,Houssiaux Célia²^ORCID

Affiliation:

1. Indiana University Bloomington, USA

2. EPFL, Switzerland

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3543873.3587373

Reference19 articles.

1. Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova. 2018. Bert: Pre-training of deep bidirectional transformers for language understanding. arXiv preprint arXiv:1810.04805 (2018).

2. Tuğrulcan Elmas. 2023. The Impact of Data Persistence Bias on Social Media Studies. arXiv preprint arXiv:2303.00902 (2023).

3. Characterizing Retweet Bots: The Case of Black Market Accounts

4. Tuğrulcan Elmas, Rebekah Overdorf, Ömer Faruk Akgül, and Karl Aberer. 2020. Misleading repurposing on twitter. arXiv preprint arXiv:2010.10600 (2020).

5. Ephemeral Astroturfing Attacks: The Case of Fake Twitter Trends

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