Výsledky vyhledávání - "Punyajoy Saha"

HateProof: Are Hateful Meme Detection Systems really Robust?

Autor: Piush Aggarwal, Pranit Chawla, Mithun Das, Punyajoy Saha, Binny Mathew, Torsten Zesch, Animesh Mukherjee

Publikováno v: Proceedings of the ACM Web Conference 2023.

Exploiting social media to spread hate has tremendously increased over the years. Lately, multi-modal hateful content such as memes has drawn relatively more traction than uni-modal content. Moreover, the availability of implicit content payloads mak

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::064cfedc9ac9392023ab1d7a428e1b93
https://doi.org/10.1145/3543507.3583356

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Platform Governance

Autor: Mithun Das, Abhisek Dash, Siddharth Jaiswal, Binny Mathew, Punyajoy Saha, Animesh Mukerjee

Publikováno v: GetMobile: Mobile Computing and Communications. 26:14-20

Platform - benign as it seems, defining the term succinctly is easier said than done [6]. It may range from an offline shopping mall to a tech-driven e-commerce platform (e.g., Amazon, Walmart, Alibaba); from a forum of public speech to an online soc

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::4b07fa39be02fa274160d93d6ecf1314
https://doi.org/10.1145/3539668.3539674

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Self-supervision and Controlling Techniques to Improve Counter Speech Generation

Autor: Punyajoy Saha

Publikováno v: Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining.

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::9a46d38bf4fcfb20ad0017627825854f
https://doi.org/10.1145/3539597.3572991

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Hate Speech: Detection, Mitigation and Beyond

Autor: Punyajoy Saha, Mithun Das, Binny Mathew, Animesh Mukherjee

Publikováno v: Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining.

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::6dcd145827adab5ab99c1d18ad746c3d
https://doi.org/10.1145/3539597.3572721

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Hate speech in online social media

Autor: Pawan Goyal, Binny Mathew, Mithun Das, Punyajoy Saha, Animesh Mukherjee

Publikováno v: ACM SIGWEB Newsletter. 2020:1-8

Social media platforms like Twitter, Gab, Facebook are available in the market to billions 1 of users. These platforms allow users to share their ideas and opinions instantly almost with no cost. These have already been utilized by bad actors in the

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::00225473e62aca205f96c7e894a639de
https://doi.org/10.1145/3427478.3427482

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'Short is the Road that Leads from Fear to Hate': Fear Speech in Indian WhatsApp Groups

Autor: Binny Mathew, Kiran Garimella, Animesh Mukherjee, Punyajoy Saha

Publikováno v: WWW

WhatsApp is the most popular messaging app in the world. Due to its popularity, WhatsApp has become a powerful and cheap tool for political campaigning being widely used during the 2019 Indian general election, where it was used to connect to the vot

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::59017c1e96f236a9ae4e4f49797d5aef
https://doi.org/10.1145/3442381.3450137

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Using Knowledge Graphs to improve Hate Speech Detection

Autor: Poojitha Maheshappa, Punyajoy Saha, Binny Mathew

Publikováno v: COMAD/CODS

With the increasing cases of online hate speech, there is an urgent demand for better hate speech detection systems. In this paper, we utilize Knowledge Graphs (KGs) to improve hate speech detection. Our initial results shows that incorporating infor

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::3c7393ca756ea159874c2d1cd6ef7b8e
https://doi.org/10.1145/3430984.3431072

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You too Brutus! Trapping Hateful Users in Social Media: Challenges, Solutions & Insights

Autor: Binny Mathew, Pawan Goyal, Punyajoy Saha, Animesh Mukherjee, Mithun Das, Ritam Dutt

Publikováno v: HT

Hate speech is regarded as one of the crucial issues plaguing the online social media. The current literature on hate speech detection leverages primarily the textual content to find hateful posts and subsequently identify hateful users. However, thi

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0bfb48e9e3e72968c054b77cc7562ce9

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A Deep Dive into Multilingual Hate Speech Classification

Autor: Sai Saketh Aluru, Punyajoy Saha, Binny Mathew, Animesh Mukherjee

Publikováno v: Machine Learning and Knowledge Discovery in Databases. Applied Data Science and Demo Track ISBN: 9783030676698
ECML/PKDD (5)

Hate speech is a serious issue that is currently plaguing the society and has been responsible for severe incidents such as the genocide of the Rohingya community in Myanmar. Social media has allowed people to spread such hateful content even faster.

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::b5a478c5d10351efeb64f65c9350406f
https://doi.org/10.1007/978-3-030-67670-4_26

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