most citedDetecting and Understanding Harmful Memes: A Survey

3 citations · 3 across the 4 of their papers we have counts for

collaborators

5 papers

cs.CL20223 cited

Detecting and Understanding Harmful Memes: A Survey

Shivam Sharma, Firoj Alam, Md. Shad Akhtar +7

The automatic identification of harmful content online is of major concern for social media platforms, policymakers, and society. Researchers have studied textual, visual, and audi…

cs.CL2021

Detecting Harmful Memes and Their Targets

Shraman Pramanick, Dimitar Dimitrov, Rituparna Mukherjee +4

Among the various modes of communication in social media, the use of Internet memes has emerged as a powerful means to convey political, psychological, and socio-cultural opinions.…

cs.MM2021

MOMENTA: A Multimodal Framework for Detecting Harmful Memes and Their Targets

Shraman Pramanick, Shivam Sharma, Dimitar Dimitrov +3

Internet memes have become powerful means to transmit political, psychological, and socio-cultural ideas. Although memes are typically humorous, recent days have witnessed an escal…

cs.CV2021

Detecting Propaganda Techniques in Memes

Dimitar Dimitrov, Bishr Bin Ali, Shaden Shaar +5

Propaganda can be defined as a form of communication that aims to influence the opinions or the actions of people towards a specific goal; this is achieved by means of well-defined…

cs.MM2021

SemEval-2021 Task 6: Detection of Persuasion Techniques in Texts and Images

Dimitar Dimitrov, Bishr Bin Ali, Shaden Shaar +5

We describe SemEval-2021 task 6 on Detection of Persuasion Techniques in Texts and Images: the data, the annotation guidelines, the evaluation setup, the results, and the participa…