Linking Stance and Stereotypes About Migrants in Italian Fake News

Alessandra Teresa Cignarella; Simona Frenda; Tom Bourgeade; Cristina Bosco; Francesca D’Errico

Linking Stance and Stereotypes About Migrants in Italian Fake News

Alessandra Teresa Cignarella^*
, Simona Frenda
, Tom Bourgeade
, Cristina Bosco
, Francesca D’Errico

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

3 Citations (Scopus)

5 Downloads (Pure)

Abstract

This paper investigates stance and stereotypes within a dataset of Twitter conversational threads in Italian. The starting point of these conversations are tweets containing misinformation, in the form of racial hoaxes targeted at migrants, identified as untrustworthy by fake news debunking websites. The conversational structure of the dataset gives us the opportunity to observe and collect evidence about some linguistic and social phenomena at play in the propagation of stereotypes and the interactions between users which stem from them. We propose a theoretical background, as well as quantitative and qualitative analyses of our annotated data, at different levels of granularity, which can provide insights into the dynamics of Italian online discourses on the topic of migration.

Original language	English
Title of host publication	Proceedings of the Ninth Italian Conference on Computational Linguistics (CLiC-it 2023)
Publisher	CEUR-WS
Pages	135–142
Number of pages	8
Volume	3596
ISBN (Print)	9791255000846
Publication status	Published - 30 Nov 2023
Event	9th Italian Conference on Computational Linguistics 2023 - Venice, Italy Duration: 30 Nov 2023 → 2 Dec 2023 https://clic2023.ilc.cnr.it/

Publication series

Name	CEUR Workshop Proceedings
Publisher	CEUR-WS
ISSN (Print)	1613-0073

Conference

Conference	9th Italian Conference on Computational Linguistics 2023
Abbreviated title	CLiC-it 2023
Country/Territory	Italy
City	Venice
Period	30/11/23 → 2/12/23
Internet address	https://clic2023.ilc.cnr.it/

Keywords

Fake News
Italian
Misinformation
Rumors
Stance Detection
Stereotypes

ASJC Scopus subject areas

General Computer Science

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Cite this

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title = "Linking Stance and Stereotypes About Migrants in Italian Fake News",

abstract = "This paper investigates stance and stereotypes within a dataset of Twitter conversational threads in Italian. The starting point of these conversations are tweets containing misinformation, in the form of racial hoaxes targeted at migrants, identified as untrustworthy by fake news debunking websites. The conversational structure of the dataset gives us the opportunity to observe and collect evidence about some linguistic and social phenomena at play in the propagation of stereotypes and the interactions between users which stem from them. We propose a theoretical background, as well as quantitative and qualitative analyses of our annotated data, at different levels of granularity, which can provide insights into the dynamics of Italian online discourses on the topic of migration.",

keywords = "Fake News, Italian, Misinformation, Rumors, Stance Detection, Stereotypes",

author = "Cignarella, \{Alessandra Teresa\} and Simona Frenda and Tom Bourgeade and Cristina Bosco and Francesca D{\textquoteright}Errico",

note = "Publisher Copyright: {\textcopyright} 2023 Copyright for this paper by its authors. Use permitted under Creative.; 9th Italian Conference on Computational Linguistics 2023, CLiC-it 2023 ; Conference date: 30-11-2023 Through 02-12-2023",

year = "2023",

month = nov,

day = "30",

language = "English",

isbn = "9791255000846",

volume = "3596",

series = "CEUR Workshop Proceedings",

publisher = "CEUR-WS",

pages = "135–142",

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Cignarella, AT, Frenda, S, Bourgeade, T, Bosco, C & D’Errico, F 2023, Linking Stance and Stereotypes About Migrants in Italian Fake News. in Proceedings of the Ninth Italian Conference on Computational Linguistics (CLiC-it 2023). vol. 3596, CEUR Workshop Proceedings, CEUR-WS, pp. 135–142, 9th Italian Conference on Computational Linguistics 2023, Venice, Italy, 30/11/23. <https://aclanthology.org/2023.clicit-1.18/>

Linking Stance and Stereotypes About Migrants in Italian Fake News. / Cignarella, Alessandra Teresa; Frenda, Simona; Bourgeade, Tom et al.
Proceedings of the Ninth Italian Conference on Computational Linguistics (CLiC-it 2023). Vol. 3596 CEUR-WS, 2023. p. 135–142 (CEUR Workshop Proceedings).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

T1 - Linking Stance and Stereotypes About Migrants in Italian Fake News

AU - Cignarella, Alessandra Teresa

AU - Frenda, Simona

AU - Bourgeade, Tom

AU - Bosco, Cristina

AU - D’Errico, Francesca

PY - 2023/11/30

Y1 - 2023/11/30

N2 - This paper investigates stance and stereotypes within a dataset of Twitter conversational threads in Italian. The starting point of these conversations are tweets containing misinformation, in the form of racial hoaxes targeted at migrants, identified as untrustworthy by fake news debunking websites. The conversational structure of the dataset gives us the opportunity to observe and collect evidence about some linguistic and social phenomena at play in the propagation of stereotypes and the interactions between users which stem from them. We propose a theoretical background, as well as quantitative and qualitative analyses of our annotated data, at different levels of granularity, which can provide insights into the dynamics of Italian online discourses on the topic of migration.

AB - This paper investigates stance and stereotypes within a dataset of Twitter conversational threads in Italian. The starting point of these conversations are tweets containing misinformation, in the form of racial hoaxes targeted at migrants, identified as untrustworthy by fake news debunking websites. The conversational structure of the dataset gives us the opportunity to observe and collect evidence about some linguistic and social phenomena at play in the propagation of stereotypes and the interactions between users which stem from them. We propose a theoretical background, as well as quantitative and qualitative analyses of our annotated data, at different levels of granularity, which can provide insights into the dynamics of Italian online discourses on the topic of migration.

KW - Fake News

KW - Italian

KW - Misinformation

KW - Rumors

KW - Stance Detection

KW - Stereotypes

UR - https://www.scopus.com/pages/publications/85181170812

M3 - Conference contribution

AN - SCOPUS:85181170812

SN - 9791255000846

VL - 3596

T3 - CEUR Workshop Proceedings

SP - 135

EP - 142

BT - Proceedings of the Ninth Italian Conference on Computational Linguistics (CLiC-it 2023)

PB - CEUR-WS

T2 - 9th Italian Conference on Computational Linguistics 2023

Y2 - 30 November 2023 through 2 December 2023

ER -

Linking Stance and Stereotypes About Migrants in Italian Fake News

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Keywords

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