[LOGOS] Virtual Seminar, Wed May 28, 10am -- Saying it or writing it on social media platforms: A comparison of written and audio messages on the Yellow Vests Telegram channel in Haute-Garonne

[Emiliano De Cristofaro]

Hi Everyone,

The next LOGOS meetup will take place on Wednesday (May 28) at *10am PDT.*

We will host a virtual seminar by Brigitte Sebbah and Pierre Ratinaud
(from Toulouse Paul Sabatier and Jean Jaurès Universities) on Zoom. Please
see details below.

Cheers,
Emiliano

*ZOOM*
https://ucr.zoom.us/j/92699528206?pwd=oo5ujmYE79Wqywca0CaaQBd1WAhUFz.1
(Meeting ID: 926 9952 8206, Passcode: 076472)

*TITLE*
Saying it or writing it on social media platforms: A comparison of written
and audio messages on the Yellow Vests Telegram channel in Haute-Garonne

*ABSTRACT*
Those involved in the Yellow Vests movement have used numerous
communication channels, most of which come under the heading of
socio-numerical networks (Facebook, Twitter, WhatsApp...). We gained access
to the Telegram feed of the Haute-Garonne yellow vests and set about
analyzing the discussions held there. Initially, we looked at the 50,000
written messages, seeking to determine the different themes addressed and
their temporalities of expression based on an analysis with the Reinert
method (Sebbah & Ratinaud, 2023) in the IRaMuTeQ software (Ratinaud, 2020).
The availability of the Whisper model (Radfort & al., 2022), which enables
the automatic transcription of oral discourse, also enabled us to analyze
the 2201 audio messages present on the discussion threads. After
highlighting some of the limitations of the automatic transcription
produced by Whisper, we will focus on the differences and similarities
between text and audio messages. Our first remarks will concern the
statistics associated with these corpora (average message size, word
frequencies, etc.), then we'll compare the preferred themes and their
chronology.  This experience of analyzing audio messages enables us to
describe an approach which, despite its limitations, should help to broaden
the practice of analyzing socio-numerical networks and the media in
general, by simplifying and amplifying the use of textual statistics to
analyze the discourse of radio, television and the countless videos put
online every day.

*BIOs*
Please see attached
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