@inproceedings{bhaumik-etal-2024-social-convos,
title = "Social Convos: Capturing Agendas and Emotions on Social Media",
author = "Bhaumik, Ankita and
Sa, Ning and
Katsios, Gregorios and
Strzalkowski, Tomek",
editor = "Calzolari, Nicoletta and
Kan, Min-Yen and
Hoste, Veronique and
Lenci, Alessandro and
Sakti, Sakriani and
Xue, Nianwen",
booktitle = "Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)",
month = may,
year = "2024",
address = "Torino, Italia",
publisher = "ELRA and ICCL",
url = "https://aclanthology.org/2024.lrec-main.1303",
pages = "14984--14994",
abstract = "Social media platforms are popular tools for disseminating targeted information during major public events like elections or pandemics. Systematic analysis of the message traffic can provide valuable insights into prevailing opinions and social dynamics among different segments of the population. We are specifically interested in influence spread, and in particular whether more deliberate influence operations can be detected. However, filtering out the essential messages with telltale influence indicators from the extensive and often chaotic social media traffic is a major challenge.In this paper we present a novel approach to extract influence indicators from messages circulating among groups of users discussing particular topics. We build upon the the concept of a convo to identify influential authors who are actively promoting some particular agenda around that topic within the group. We focus on two influence indicators: the (control of) agenda and the use of emotional language.",
}
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<abstract>Social media platforms are popular tools for disseminating targeted information during major public events like elections or pandemics. Systematic analysis of the message traffic can provide valuable insights into prevailing opinions and social dynamics among different segments of the population. We are specifically interested in influence spread, and in particular whether more deliberate influence operations can be detected. However, filtering out the essential messages with telltale influence indicators from the extensive and often chaotic social media traffic is a major challenge.In this paper we present a novel approach to extract influence indicators from messages circulating among groups of users discussing particular topics. We build upon the the concept of a convo to identify influential authors who are actively promoting some particular agenda around that topic within the group. We focus on two influence indicators: the (control of) agenda and the use of emotional language.</abstract>
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%0 Conference Proceedings
%T Social Convos: Capturing Agendas and Emotions on Social Media
%A Bhaumik, Ankita
%A Sa, Ning
%A Katsios, Gregorios
%A Strzalkowski, Tomek
%Y Calzolari, Nicoletta
%Y Kan, Min-Yen
%Y Hoste, Veronique
%Y Lenci, Alessandro
%Y Sakti, Sakriani
%Y Xue, Nianwen
%S Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)
%D 2024
%8 May
%I ELRA and ICCL
%C Torino, Italia
%F bhaumik-etal-2024-social-convos
%X Social media platforms are popular tools for disseminating targeted information during major public events like elections or pandemics. Systematic analysis of the message traffic can provide valuable insights into prevailing opinions and social dynamics among different segments of the population. We are specifically interested in influence spread, and in particular whether more deliberate influence operations can be detected. However, filtering out the essential messages with telltale influence indicators from the extensive and often chaotic social media traffic is a major challenge.In this paper we present a novel approach to extract influence indicators from messages circulating among groups of users discussing particular topics. We build upon the the concept of a convo to identify influential authors who are actively promoting some particular agenda around that topic within the group. We focus on two influence indicators: the (control of) agenda and the use of emotional language.
%U https://aclanthology.org/2024.lrec-main.1303
%P 14984-14994
Markdown (Informal)
[Social Convos: Capturing Agendas and Emotions on Social Media](https://aclanthology.org/2024.lrec-main.1303) (Bhaumik et al., LREC-COLING 2024)
ACL
- Ankita Bhaumik, Ning Sa, Gregorios Katsios, and Tomek Strzalkowski. 2024. Social Convos: Capturing Agendas and Emotions on Social Media. In Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024), pages 14984–14994, Torino, Italia. ELRA and ICCL.