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US news and social media framing around vaping

  • Keyu Chen
  • , Marzieh Babaeianjelodar
  • , Yiwen Shi
  • , Rohan Aanegola
  • , Lam Yin Cheung
  • , Preslav Ivanov Nakov
  • , Shweta Yadav
  • , Angus Bancroft
  • , Ashiqur R. KhudaBukhsh
  • , Munmun De Choudhury
  • , Frederick L. Altice
  • , Navin Kumar*
  • *Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

In this paper, we investigate how vaping is framed differently (2008–2021) between US news and social media. We analyze 15,711 news articles and 1,231,379 Facebook posts about vaping to study the differences in framing between media varieties. We use word embeddings to provide two-dimensional visualizations of the semantic changes around vaping for news and for social media. We detail that news media framing of vaping shifted over time in line with emergent regulatory trends, such as; flavored vaping bans, with little discussion around vaping as a smoking cessation tool. We found that social media discussions were far more varied, with transitions toward vaping both as a public health harm and as a smoking cessation tool. Our cloze test, dynamic topic models, and question answering showed similar patterns, where social media, but not news media, characterizes vaping as combustible cigarette substitute. We use n-grams and LDA topic models to detail that social media data first centered on vaping as a smoking cessation tool, and in 2019 moved toward narratives around vaping regulation, similar to news media frames. Overall, social media tracks the evolution of vaping as a social practice, while news media reflects more risk based concerns. A strength of our work is how the different techniques we have applied validate each other.
Original languageEnglish
Title of host publicationComputational Data and Social Networks
Subtitle of host publicationCSoNet 2022
EditorsThang N. Dinh, Minming Li
PublisherSpringer
Pages188-199
Number of pages12
Volume13831
ISBN (Electronic)9783031263033
ISBN (Print)9783031263026
DOIs
Publication statusPublished - 11 Feb 2023
Event11th International Conference on Computational Data and Social Networks, CSoNet 2022 - Virtual, Online
Duration: 5 Dec 20227 Dec 2022

Publication series

NameLecture Notes in Computer Science (LNCS)
PublisherSpringer
Volume13831
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference11th International Conference on Computational Data and Social Networks, CSoNet 2022
CityVirtual, Online
Period5/12/227/12/22

Keywords / Materials (for Non-textual outputs)

  • harm reduction
  • social media
  • vaping

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