The goal for this task is to classify tweets as “5G corona virus conspiracy”, “other conspiracy”, or “non conspiracy”, based on text analysis and based on the ...

This paper summarizes the contribution of the team UIBK-DBISFAKENEWS to the task "FakeNews: Corona virus and 5G conspiracy" as part of MediaEval 2020, ...

Detecting Conspiracy Tweets using Support Vector Machines ; Sports Video Classification: Classification of Strokes in Table Tennis for MediaEval 2020 · 109 views.

... Vol-2882/MediaEval_20_paper_26. Benjamin Murauer Manfred Moosleitner Günther Specht. Detecting Conspiracy Tweets Using Support Vector Machines.

Aug 16, 2021 · Detecting Conspiracy Tweets using Support Vector Machines - Download as a PDF or view online for free.

This article proposes a machine learning method that can identify misinformation from Twitter data. The experiment was carried out with three widely used ...

For the graph-based approach, the best results came from a Support Vector Machine (SVM) model with a MCC score of 0.366.

This work looks at developing an effective misinformation detection framework with respect to COVID-19, specifically for Twitter.

Furthermore, the classification leverages Support Vector Machine (SVM) ... An operational system for detecting and tracking opinions in on-line discussion.

Regarding their work, the Decision Tree (DT) algorithm has superior accuracy (97.9%) compared to the Support Vector Machine (SVM) and Naïve Bayes (NB) ...