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- research-articleOctober 2020
A Dataset of Journalists' Interactions with Their Readership: When Should Article Authors Reply to Reader Comments?
CIKM '20: Proceedings of the 29th ACM International Conference on Information & Knowledge ManagementPages 3117–3124https://doi.org/10.1145/3340531.3412764The comment sections of online news platforms are an important space to indulge in political conversations and to discuss opinions. Although primarily meant as forums where readers discuss amongst each other, they can also spark a dialog with the ...
- short-paperOctober 2020
On-demand Influencer Discovery on Social Media
CIKM '20: Proceedings of the 29th ACM International Conference on Information & Knowledge ManagementPages 2337–2340https://doi.org/10.1145/3340531.3412134Identifying influencers on social media, such as Twitter, has played a central role in many applications, including online marketing and political campaigns. Compared with social media celebrities, domain-specific influencers are less expensive to hire ...
- research-articleOctober 2020
Unsupervised Cyberbullying Detection via Time-Informed Gaussian Mixture Model
CIKM '20: Proceedings of the 29th ACM International Conference on Information & Knowledge ManagementPages 185–194https://doi.org/10.1145/3340531.3411934Social media is a vital means for information-sharing due to its easy access, low cost, and fast dissemination characteristics. However, increases in social media usage have corresponded with a rise in the prevalence of cyberbullying. Most existing ...
- research-articleOctober 2020
Describing and Predicting Online Items with Reshare Cascades via Dual Mixture Self-exciting Processes
CIKM '20: Proceedings of the 29th ACM International Conference on Information & Knowledge ManagementPages 645–654https://doi.org/10.1145/3340531.3411861It is well-known that online behavior is long-tailed, with most cascaded actions being short and a few being very long. A prominent drawback in generative models for online events is the inability to describe unpopular items well. This work addresses ...