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- surveyMay 2022
Blackmarket-Driven Collusion on Online Media: A Survey
ACM/IMS Transactions on Data Science (TDS), Volume 2, Issue 4Article No.: 43, Pages 1–37https://doi.org/10.1145/3517931Online media platforms have enabled users to connect with individuals and organizations, and share their thoughts. Other than connectivity, these platforms also serve multiple purposes, such as education, promotion, updates, and awareness. Increasing, the ...
- research-articleNovember 2021
Detecting and Analyzing Collusive Entities on YouTube
ACM Transactions on Intelligent Systems and Technology (TIST), Volume 12, Issue 5Article No.: 64, Pages 1–28https://doi.org/10.1145/3477300YouTube sells advertisements on the posted videos, which in turn enables the content creators to monetize their videos. As an unintended consequence, this has proliferated various illegal activities such as artificial boosting of views, likes, comments, ...
- research-articleAugust 2021
DECIFE: Detecting Collusive Users Involved in Blackmarket Following Services on Twitter
HT '21: Proceedings of the 32nd ACM Conference on Hypertext and Social MediaPages 91–100https://doi.org/10.1145/3465336.3475108The popularity of Twitter has fostered the emergence of various fraudulent user activities - one such activity is to artificially bolster the social reputation of Twitter profiles by gaining a large number of followers within a short time span. Many ...
- research-articleApril 2020
Analyzing and Detecting Collusive Users Involved in Blackmarket Retweeting Activities
ACM Transactions on Intelligent Systems and Technology (TIST), Volume 11, Issue 3Article No.: 35, Pages 1–24https://doi.org/10.1145/3380537With the rise in popularity of social media platforms like Twitter, having higher influence on these platforms has a greater value attached to it, since it has the power to influence many decisions in the form of brand promotions and shaping opinions. ...
- short-paperJanuary 2020
Multitask learning for blackmarket tweet detection
ASONAM '19: Proceedings of the 2019 IEEE/ACM International Conference on Advances in Social Networks Analysis and MiningPages 127–130https://doi.org/10.1145/3341161.3342934Online social media platforms have made the world more connected than ever before, thereby making it easier for everyone to spread their content across a wide variety of audiences. Twitter is one such popular platform where people publish tweets to ...
- research-articleJanuary 2019
CoReRank: Ranking to Detect Users Involved in Blackmarket-Based Collusive Retweeting Activities
WSDM '19: Proceedings of the Twelfth ACM International Conference on Web Search and Data MiningPages 330–338https://doi.org/10.1145/3289600.3291010Twitter's popularity has fostered the emergence of various illegal user activities - one such activity is to artificially bolster visibility of tweets by gaining large number of retweets within a short time span. The natural way to gain visibility is ...
- research-articleFebruary 2020
Retweet us, we will retweet you: Spotting Collusive Retweeters Involved in Blackmarket Services
Twitter has increasingly become a popular platform to share news and user opinion. A tweet is considered to be important if it receives high number of affirmative reactions from other Twitter users via Retweets. Retweet count is thus considered as a ...