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Summary of Mpox Narrative on Instagram: a Labeled Multilingual Dataset Of Instagram Posts on Mpox For Sentiment, Hate Speech, and Anxiety Analysis, by Nirmalya Thakur


Mpox Narrative on Instagram: A Labeled Multilingual Dataset of Instagram Posts on Mpox for Sentiment, Hate Speech, and Anxiety Analysis

by Nirmalya Thakur

First submitted to arxiv on: 9 Sep 2024

Categories

  • Main: Machine Learning (cs.LG)
  • Secondary: Artificial Intelligence (cs.AI); Computation and Language (cs.CL); Computers and Society (cs.CY); Social and Information Networks (cs.SI)

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Summary difficulty Written by Summary
High Paper authors High Difficulty Summary
Read the original abstract here
Medium GrooveSquid.com (original content) Medium Difficulty Summary
The paper addresses a research gap in social media mining by developing a multilingual dataset of Instagram posts about mpox, declared a Public Health Emergency of International Concern by WHO. The dataset contains 60,127 posts published between July 2022 and September 2024, available at https://dx.doi.org/10.21227/7fvc-y093. Each post has attributes such as Post ID, description, date, language, and translated version. Sentiment analysis, hate speech detection, and anxiety/stress detection were performed on the posts, classifying them into respective categories. The results showed varying sentiment classes (fear, surprise, joy, sadness, anger, disgust, neutral), with most posts being neutral. Only 4.25% of posts contained hate speech, while 72.05% did not indicate anxiety/stress.
Low GrooveSquid.com (original content) Low Difficulty Summary
This paper created a big dataset of Instagram posts about mpox, which is important because it can help us understand how people are thinking and feeling about this health crisis. They used computers to analyze the posts and found out what people were saying (happy, sad, angry, etc.), whether they were being mean or nice, and if they seemed stressed or worried. This helps us know more about how social media is affecting our understanding of mpox.

Keywords

* Artificial intelligence