神经网络也依赖于数据集的大小。 翻译自--Alothali等, 《Detecting Social Bots on Twitter》.
BotsBot-like behaviorLogistic regressionSocial media is becoming a platform of choice for people to voice their opinion on topics of discussion. To evaluate these opinions, it is important to have an accurate assessment of who is saying what. Unfortunately, social media are also the home of ...
可以与之前的方法进行融合。 总结自--ACM International Conference on Information and Knowledge Management等, 编, CIKM 2017: Proceedings of the 2017 ACM Conference on Information and Knowledge Management : November 6-10, 2017 : Singapore, 2017....
Users on social networks such as Twitter interact with each other without much knowledge of the real-identity behind the accounts they interact with. This anonymity has created a perfect environment for bot accounts to influence the network by mimicking
Using sentiment to detect bots on twitter: Are humans more opinionated than bots?in Proceedings of the 2014 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining. 2014. IEEE Press. Google Scholar 10 Martinez-Romo J., L. Araujo Detecting malicious tweets in trending...
Twitter is a new web application playing dual roles of online social networking and microblogging. Users communicate with each other by publishing text-based posts. The popularity and open structure of Twitter have attracted a large number of automated programs, known as bots, which appear to be ...
We also explore various types of Twitter Sybil accounts detection features with the objective of building an effective and practical classifier. In order to build and evaluate our classifier, we collect and manually label a dataset of twitter accounts, including human users, bots, and hybrid (i....
We consider the problem of identifying coordinated influence campaigns conducted by automated agents or bots in a social network. We study several different Twitter datasets which contain such campaigns and find that the bots exhibit heterophily - they interact more with humans than with each other....
By conducting large-scale surveys in Germany and the United Kingdom, we investigate the individual-level determinants of the ability to detect fake news and the inclination to share it. We distinguish between deliberate and accidental sharing of fake new
Twitter Bots in Cyber-Physical-Social Systems: Detection and Estimation Based on the SEIR Model Bots are now part of the social media landscape, and thus, a threat to cyber-physical-social systems (CPSSs). A better understanding of their characteristi... W Zhang,J Lu,Y Liu,... - 《Se...