태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
Academic studies estimate that up to 15% of Twitter users are automated bot accounts [1]. The prevalence of Twitter bots coupled with the ability of some bots to give seemingly human responses has enabled these non-human accounts to garner widespread influence. Hence, detecting non-human Twitter users or automated bot accounts using machine learning techniques has become an area of interest to researchers in the last few years.
[1] https://aaai.org/ocs/index.php/ICWSM/ICWSM17/paper/view/15587
출처에 같은 태스크 이름으로 연결된 데이터셋입니다. 동명 태스크가 포함될 수 있으므로, 비교할 때는 평가 결과의 조건도 확인하세요.
MGTAB is the first standardized graph-based benchmark for stance and bot detection. MGTAB contains 10,199 expert-annotated users and 7 types of relationships, ensuring high-quality annotation and diversified relations. For more details, please refer to the MGTAB paper. Source: https://github.com/GraphDetec/MGTAB
You need to request access to download and use the dataset. It contains fake and real accounts of Twitter and their follower's/friends' ids (can create a graph based on that).
The dataset contains 30 million cryptocurrency-related tweets from 10.10.2020 to 3.3.2021. See https://github.com/meakbiyik/ask-who-not-what for more details.
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.