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Published April 24, 2023 | Version v3

A Computational Analysis of Telegram's Narrative Affordances

Authors/Creators

  • 1. Vrije Universiteit Brussel

Description

Anonymized message classification data from public Telegram channels pertaining to the paper "A Computational Analysis of Telegram's Narrative Affordances". 

All files are included in the zipped folder 'narrative_affordances_data.zip'

Each file contains the message classification data for a single Telegram channel. Numbered files are included for each of the six datasets (1 combined, 5 thematic) discussed in the paper. 

 

Files

dataset0_channel42.csv

Files (153.2 MB)

Name Size
md5:7a342621d0f17675bbdf842065038214
425.7 kB Preview Download
md5:bb3058aaeeae024024750a448b60785f
103.6 kB Preview Download
md5:52403a14161b839723551d774dbdb144
523.1 kB Preview Download
md5:7494d43389ef8893fe1903e4b366604a
64.2 kB Preview Download
md5:01a34d42e4b8a7f6da5fe3709564245e
273.4 kB Preview Download
md5:a8e0200780571ee2116672dc8eb3a875
2.2 MB Preview Download
md5:29526a9bc5e2d64cc4232b43f5a5e063
213.8 kB Preview Download
md5:74fe9362e9f0f844f5e80ce88c5d29b4
153.6 kB Preview Download
md5:522e197a8194fe0f15ab83d68aecde0a
149.2 MB Preview Download

Additional details

Funding

European Commission
SoMe4Dem - Social media for democracy – understanding the causal mechanisms of digital citizenship 101094752