ClimateMiSt: Climate Change Misinformation and Stance Detection Dataset

Yeon Jung Choi; Dong Wang; Lanyu Shang

doi:10.1007/978-3-031-78538-2_28

ClimateMiSt: Climate Change Misinformation and Stance Detection Dataset

Yeon Jung Choi, Dong Wang, Lanyu Shang

Computer Science

University of Illinois Urbana-Champaign

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

Original language	English
Title of host publication	Social Networks Analysis and Mining - 16th International Conference, ASONAM 2024, Proceedings
Editors	Luca Maria Aiello, Tanmoy Chakraborty, Sabrina Gaito
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	321-330
Number of pages	10
ISBN (Print)	9783031785375
DOIs	https://doi.org/10.1007/978-3-031-78538-2_28
State	Published - 2025
Event	16th International Conference on Social Networks Analysis and Mining, ASONAM 2024 - Rende, Italy Duration: Sep 2 2024 → Sep 5 2024

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	15212 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	16th International Conference on Social Networks Analysis and Mining, ASONAM 2024
Country/Territory	Italy
City	Rende
Period	9/2/24 → 9/5/24

ASJC Scopus Subject Areas

Theoretical Computer Science
General Computer Science

Keywords

Climage Change
Climate Change Dataset
Misinformation Detection
Online Social Media
Stance Detection

Access to Document

10.1007/978-3-031-78538-2_28

Cite this

Choi, Y. J., Wang, D., & Shang, L. (2025). ClimateMiSt: Climate Change Misinformation and Stance Detection Dataset. In L. M. Aiello, T. Chakraborty, & S. Gaito (Eds.), Social Networks Analysis and Mining - 16th International Conference, ASONAM 2024, Proceedings (pp. 321-330). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 15212 LNCS). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-031-78538-2_28

ClimateMiSt: Climate Change Misinformation and Stance Detection Dataset. / Choi, Yeon Jung; Wang, Dong; Shang, Lanyu.
Social Networks Analysis and Mining - 16th International Conference, ASONAM 2024, Proceedings. ed. / Luca Maria Aiello; Tanmoy Chakraborty; Sabrina Gaito. Springer Science and Business Media Deutschland GmbH, 2025. p. 321-330 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 15212 LNCS).

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

Choi, YJ, Wang, D & Shang, L 2025, ClimateMiSt: Climate Change Misinformation and Stance Detection Dataset. in LM Aiello, T Chakraborty & S Gaito (eds), Social Networks Analysis and Mining - 16th International Conference, ASONAM 2024, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 15212 LNCS, Springer Science and Business Media Deutschland GmbH, pp. 321-330, 16th International Conference on Social Networks Analysis and Mining, ASONAM 2024, Rende, Italy, 9/2/24. https://doi.org/10.1007/978-3-031-78538-2_28

Choi YJ, Wang D, Shang L. ClimateMiSt: Climate Change Misinformation and Stance Detection Dataset. In Aiello LM, Chakraborty T, Gaito S, editors, Social Networks Analysis and Mining - 16th International Conference, ASONAM 2024, Proceedings. Springer Science and Business Media Deutschland GmbH. 2025. p. 321-330. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-031-78538-2_28

Choi, Yeon Jung ; Wang, Dong ; Shang, Lanyu. / ClimateMiSt : Climate Change Misinformation and Stance Detection Dataset. Social Networks Analysis and Mining - 16th International Conference, ASONAM 2024, Proceedings. editor / Luca Maria Aiello ; Tanmoy Chakraborty ; Sabrina Gaito. Springer Science and Business Media Deutschland GmbH, 2025. pp. 321-330 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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