Joint International Workshop on Misinformation and Misbehavior Mining on the Web & Making a Credible Web for Tomorrow (MIS2-TrueFact)

Pamela Bhattacharya; Jing Gao; Meng Jiang; Mehran Kafai; Srijan Kumar; Qi Li; Neil Shah; Sihong Xie; Philip S. Yu; Ming Zeng

doi:10.1145/3534678.3542898

Joint International Workshop on Misinformation and Misbehavior Mining on the Web & Making a Credible Web for Tomorrow (MIS2-TrueFact)

Pamela Bhattacharya
, Jing Gao
, Meng Jiang
, Mehran Kafai
, Srijan Kumar
, Qi Li
, Neil Shah
, Sihong Xie
, Philip S. Yu
, Ming Zeng

Department of Computer Science and Engineering

Meta
University of Notre Dame
Amazon.com, Inc.
Georgia Institute of Technology
Iowa State University
Snap Inc.
Lehigh University
University of Illinois at Chicago

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

Abstract

The MIS2-TrueFact is geared towards bringing academic, industry, and government researchers and practitioners together to tackle the challenges in misinformation, misbehavior, and data quality issues on the web with heterogeneous and multi-modal sources of information including texts, images, videos, relational data, social networks, and knowledge graphs.

Original language	English
Title of host publication	KDD 2022 - Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining
Publisher	Association for Computing Machinery
Pages	4854-4855
Number of pages	2
ISBN (Electronic)	9781450393850
DOIs	https://doi.org/10.1145/3534678.3542898
State	Published - Aug 14 2022
Event	28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, KDD 2022 - Washington, United States Duration: Aug 14 2022 → Aug 18 2022

Publication series

Name	Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining

Conference

Conference	28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, KDD 2022
Country/Territory	United States
City	Washington
Period	08/14/22 → 08/18/22

Keywords

credibility analysis
fact-checking
misbehavior
misinformation
rumor detection
truth discovery

Access to Document

10.1145/3534678.3542898

Cite this

Bhattacharya, P., Gao, J., Jiang, M., Kafai, M., Kumar, S., Li, Q., Shah, N., Xie, S., Yu, P. S., & Zeng, M. (2022). Joint International Workshop on Misinformation and Misbehavior Mining on the Web & Making a Credible Web for Tomorrow (MIS2-TrueFact). In KDD 2022 - Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (pp. 4854-4855). (Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining). Association for Computing Machinery . https://doi.org/10.1145/3534678.3542898

Bhattacharya, Pamela ; Gao, Jing ; Jiang, Meng et al. / Joint International Workshop on Misinformation and Misbehavior Mining on the Web & Making a Credible Web for Tomorrow (MIS2-TrueFact). KDD 2022 - Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining. Association for Computing Machinery , 2022. pp. 4854-4855 (Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining).

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title = "Joint International Workshop on Misinformation and Misbehavior Mining on the Web \& Making a Credible Web for Tomorrow (MIS2-TrueFact)",

abstract = "The MIS2-TrueFact is geared towards bringing academic, industry, and government researchers and practitioners together to tackle the challenges in misinformation, misbehavior, and data quality issues on the web with heterogeneous and multi-modal sources of information including texts, images, videos, relational data, social networks, and knowledge graphs.",

keywords = "credibility analysis, fact-checking, misbehavior, misinformation, rumor detection, truth discovery",

author = "Pamela Bhattacharya and Jing Gao and Meng Jiang and Mehran Kafai and Srijan Kumar and Qi Li and Neil Shah and Sihong Xie and Yu, \{Philip S.\} and Ming Zeng",

note = "Publisher Copyright: {\textcopyright} 2022 Owner/Author.; 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, KDD 2022 ; Conference date: 14-08-2022 Through 18-08-2022",

year = "2022",

month = aug,

day = "14",

doi = "10.1145/3534678.3542898",

language = "English",

series = "Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining",

publisher = "Association for Computing Machinery ",

pages = "4854--4855",

booktitle = "KDD 2022 - Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining",

address = "United States",

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Bhattacharya, P, Gao, J, Jiang, M, Kafai, M, Kumar, S, Li, Q, Shah, N, Xie, S, Yu, PS & Zeng, M 2022, Joint International Workshop on Misinformation and Misbehavior Mining on the Web & Making a Credible Web for Tomorrow (MIS2-TrueFact). in KDD 2022 - Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining. Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Association for Computing Machinery , pp. 4854-4855, 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, KDD 2022, Washington, United States, 08/14/22. https://doi.org/10.1145/3534678.3542898

Joint International Workshop on Misinformation and Misbehavior Mining on the Web & Making a Credible Web for Tomorrow (MIS2-TrueFact). / Bhattacharya, Pamela; Gao, Jing; Jiang, Meng et al.
KDD 2022 - Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining. Association for Computing Machinery , 2022. p. 4854-4855 (Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining).

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

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AU - Bhattacharya, Pamela

AU - Gao, Jing

AU - Jiang, Meng

AU - Kafai, Mehran

AU - Kumar, Srijan

AU - Li, Qi

AU - Shah, Neil

AU - Xie, Sihong

AU - Yu, Philip S.

AU - Zeng, Ming

PY - 2022/8/14

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N2 - The MIS2-TrueFact is geared towards bringing academic, industry, and government researchers and practitioners together to tackle the challenges in misinformation, misbehavior, and data quality issues on the web with heterogeneous and multi-modal sources of information including texts, images, videos, relational data, social networks, and knowledge graphs.

AB - The MIS2-TrueFact is geared towards bringing academic, industry, and government researchers and practitioners together to tackle the challenges in misinformation, misbehavior, and data quality issues on the web with heterogeneous and multi-modal sources of information including texts, images, videos, relational data, social networks, and knowledge graphs.

KW - credibility analysis

KW - fact-checking

KW - misbehavior

KW - misinformation

KW - rumor detection

KW - truth discovery

UR - https://www.scopus.com/pages/publications/85137149439

U2 - 10.1145/3534678.3542898

DO - 10.1145/3534678.3542898

M3 - Conference contribution

AN - SCOPUS:85137149439

T3 - Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining

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EP - 4855

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T2 - 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, KDD 2022

Y2 - 14 August 2022 through 18 August 2022

ER -

Bhattacharya P, Gao J, Jiang M, Kafai M, Kumar S, Li Q et al. Joint International Workshop on Misinformation and Misbehavior Mining on the Web & Making a Credible Web for Tomorrow (MIS2-TrueFact). In KDD 2022 - Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining. Association for Computing Machinery . 2022. p. 4854-4855. (Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining). doi: 10.1145/3534678.3542898

Joint International Workshop on Misinformation and Misbehavior Mining on the Web & Making a Credible Web for Tomorrow (MIS2-TrueFact)

Abstract

Publication series

Conference

Keywords

Access to Document

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