Results 31 to 40 of about 7,753,315 (190)
vamsitadikonda/chat-defender-bot: first major release
, 2022 A Discord Bot to prevent cyberbullying and hate speech in ...
Bharath +5 more
core +1 more source
Bert Model for Social Media Bot Detection [PDF]
, 2022 Millions of online posts about different topics and products are shared on popular social media platforms. One use of this content is to provide crowd-sourced information about a specific topic, event, or product.
Jones, James H Jr., Heidari, Maryam
core +1 more source
Microblog Bot-user Identification Method Based on Analytic Hierarchy Process and Support Vector Machine [PDF]
Jisuanji gongcheng, 2017 Taking sina Microblog bot users as the object of study,this paper analyses and extracts features of the bot user and proposes a new Microblog bot user identification method.Through the Analytic Hierarchy Process(AHP),it constructs an index system and ...
ZHANG Xiaoyi,LU Yan,ZHAI Huiliang
doaj +1 more source
TI-16 DNS Labeled Dataset for Detecting Botnets
IEEE Access, 2023 Botnets continue to evolve despite many efforts by law enforcement agencies and security researchers. As a result, there is an increase in the number of cybercrimes. This has led to a greater research focus on botnet detection.
Manmeet Singh +2 more
doaj +1 more source
RF-GNN: Random Forest Boosted Graph Neural Network for Social Bot Detection [PDF]
arXiv.org, 2023 The presence of a large number of bots on social media leads to adverse effects. Although Random forest algorithm is widely used in bot detection and can significantly enhance the performance of weak classifiers, it cannot utilize the interaction between
S. Shi +5 more
semanticscholar +1 more source
, 2022 0.1.1 / 2022-09-29 What's Changed Allow MV/NV runs to be found by @JoranAngevaare in https://github.com/XENONnT/daq-bot/pull/7 log.sleep -> time.sleep by @JoranAngevaare in https://github.com/XENONnT/daq-bot/pull/8 Full Changelog: https://github.com ...
Joran R. Angevaare
core +1 more source
Bot, or not? Comparing three methods for detecting social bots in five political discourses
Big Data & Society, 2021 Social bots – partially or fully automated accounts on social media platforms – have not only been widely discussed, but have also entered political, media and research agendas. However, bot detection is not an exact science.
Franziska Martini +3 more
doaj +1 more source
HOFA: Twitter Bot Detection with Homophily-Oriented Augmentation and Frequency Adaptive Attention [PDF]
arXiv.org, 2023 Twitter bot detection has become an increasingly important and challenging task to combat online misinformation, facilitate social content moderation, and safeguard the integrity of social platforms.
Sen Ye +6 more
semanticscholar +1 more source
Detecting bots in social-networks using node and structural embeddings
Journal of Big Data, 2023 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 ...
Ashkan Dehghan +8 more
doaj +1 more source
My Brother Helps Me: Node Injection Based Adversarial Attack on Social Bot Detection [PDF]
ACM Multimedia, 2023 Social platforms such as Twitter are under siege from a multitude of fraudulent users. In response, social bot detection tasks have been developed to identify such fake users.
Lanjun Wang +5 more
semanticscholar +1 more source