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In this study, we propose feature extraction for multimodal meme classification using Deep Learning approaches. A meme is usually a photo or video with text shared by the young generation on social media platforms that expresses a…

人工智能 · 计算机科学 2022-07-08 Sofiane Ouaari , Tsegaye Misikir Tashu , Tomas Horvath

Memes act as cryptic tools for sharing sensitive ideas, often requiring contextual knowledge to interpret. This makes moderating multimodal memes challenging, as existing works either lack high-quality datasets on nuanced hate categories or…

计算与语言 · 计算机科学 2024-12-31 Palash Nandi , Shivam Sharma , Tanmoy Chakraborty

Information on social media comprises of various modalities such as textual, visual and audio. NLP and Computer Vision communities often leverage only one prominent modality in isolation to study social media. However, the computational…

计算机视觉与模式识别 · 计算机科学 2020-08-11 Chhavi Sharma , Deepesh Bhageria , William Scott , Srinivas PYKL , Amitava Das , Tanmoy Chakraborty , Viswanath Pulabaigari , Bjorn Gamback

Memes are one of the most ubiquitous forms of social media communication. The study and processing of memes, which are intrinsically multimedia, is a popular topic right now. The study presented in this research is based on the Memotion…

计算与语言 · 计算机科学 2021-12-23 Nayan Varma Alluri , Neeli Dheeraj Krishna

Internet memes have become a dominant method of communication; at the same time, however, they are also increasingly being used to advocate extremism and foster derogatory beliefs. Nonetheless, we do not have a firm understanding as to…

Memes have become an ubiquitous social media entity and the processing and analysis of suchmultimodal data is currently an active area of research. This paper presents our work on theMemotion Analysis shared task of SemEval 2020, which…

计算机视觉与模式识别 · 计算机科学 2020-08-04 Pradyumna Gupta , Himanshu Gupta , Aman Sinha

Memes are the new-age conveyance mechanism for humor on social media sites. Memes often include an image and some text. Memes can be used to promote disinformation or hatred, thus it is crucial to investigate in details. We introduce…

Internet memes are a central element of online culture, blending images and text. While substantial research has focused on either the visual or textual components of memes, little attention has been given to their interplay. This gap…

计算机视觉与模式识别 · 计算机科学 2026-02-03 Aidos Konyspay , Pakizar Shamoi , Malika Ziyada , Zhusup Smambayev

Memes are a powerful tool for communication over social media. Their affinity for evolving across politics, history, and sociocultural phenomena makes them an ideal communication vehicle. To comprehend the subtle message conveyed within a…

计算与语言 · 计算机科学 2023-05-30 Shivam Sharma , Ramaneswaran S , Udit Arora , Md. Shad Akhtar , Tanmoy Chakraborty

Analyzing memes on the internet has emerged as a crucial endeavor due to the impact this multi-modal form of content wields in shaping online discourse. Memes have become a powerful tool for expressing emotions and sentiments, possibly even…

Memes are a popular form of communicating trends and ideas in social media and on the internet in general, combining the modalities of images and text. They can express humor and sarcasm but can also have offensive content. Analyzing and…

Memes have become a distinctive and effective form of communication in the digital era, attracting online communities and cutting across cultural barriers. Even though memes are frequently linked with humor, they have an amazing capacity to…

计算机视觉与模式识别 · 计算机科学 2024-01-19 Kazi Toufique Elahi , Tasnuva Binte Rahman , Shakil Shahriar , Samir Sarker , Sajib Kumar Saha Joy , Faisal Muhammad Shah

In recent years, the growing ubiquity of Internet memes on social media platforms, such as Facebook, Instagram, and Twitter, has become a topic of immense interest. However, the classification and recognition of memes is much more…

计算与语言 · 计算机科学 2020-07-29 Li Yuan , Jin Wang , Xuejie Zhang

Users from the online environment can create different ways of expressing their thoughts, opinions, or conception of amusement. Internet memes were created specifically for these situations. Their main purpose is to transmit ideas by using…

Memes represent a tightly coupled, multimodal form of social expression, in which visual context and overlaid text jointly convey nuanced affect and commentary. Inspired by cognitive reappraisal in psychology, we introduce Meme Reappraisal,…

计算机视觉与模式识别 · 计算机科学 2026-03-17 Yiqi Nie , Fei Wang , Junjie Chen , Kun Li , Yudi Cai , Dan Guo , Chenglong Li , Meng Wang

Hate speech online targets individuals or groups based on identity attributes and spreads rapidly, posing serious social risks. Memes, which combine images and text, have emerged as a nuanced vehicle for disseminating hate speech, often…

多智能体系统 · 计算机科学 2026-03-26 Rui Xing , Qi Chai , Jie Ma , Jing Tao , Pinghui Wang , Shuming Zhang , Xinping Wang , Hao Wang

The prevalence of memes on social media has created the need to sentiment analyze their underlying meanings for censoring harmful content. Meme censoring systems by machine learning raise the need for a semi-supervised learning solution to…

机器学习 · 计算机科学 2023-05-17 Pham Thai Hoang Tung , Nguyen Tan Viet , Ngo Tien Anh , Phan Duy Hung

Memes are a dominant medium for online communication and manipulation because meaning emerges from interactions between embedded text, imagery, and cultural context. Existing meme research is distributed across tasks (hate, misogyny,…

Social media is abundant in visual and textual information presented together or in isolation. Memes are the most popular form, belonging to the former class. In this paper, we present our approaches for the Memotion Analysis problem as…

计算与语言 · 计算机科学 2020-07-23 Vishal Keswani , Sakshi Singh , Suryansh Agarwal , Ashutosh Modi

Humor, deeply rooted in societal meanings and cultural details, poses a unique challenge for machines. While advances have been made in natural language processing, real-world humor often thrives in a multi-modal context, encapsulated…

计算机视觉与模式识别 · 计算机科学 2025-06-12 Yuyan Chen , Songzhou Yan , Zhihong Zhu , Zhixu Li , Yanghua Xiao
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