TwiXplorer: An interactive tool for narrative detection and analysis in historic Twitter data

Youssef Al Hariri; Sandrine Chausson; Björn Ross; Walid Magdy

doi:10.1145/3678884.3681815

TwiXplorer: An interactive tool for narrative detection and analysis in historic Twitter data

Youssef Al Hariri, Sandrine Chausson, Björn Ross, Walid Magdy

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

Abstract / Description of output

We present TwiXplorer, an interactive tool to explore and understand static Twitter (X) datasets. While obtaining new data from X has become more challenging for academics, there are still rich datasets available that have largely been untapped, for example, from the “The Twitter Stream Grab” project at the Internet Archive. Accessing and exploring this historical Twitter data is crucial for researchers interested in studying the history of social media. Our system is more advanced and easy to use than existing options and demonstrates how AI can help and be integrated into a process to make sense of large datasets. The tool is accessed through a web-based dashboard and designed with interaction in mind: the analyst can iteratively explore the data instead of being presented with static reports. We make the tool fully open source.

Original language	English
Title of host publication	CSCW Companion '24
Subtitle of host publication	Companion Publication of the 2024 Conference on Computer-Supported Cooperative Work and Social Computing
Place of Publication	New York, NY, USA
Publisher	Association for Computing Machinery (ACM)
Pages	83-86
Number of pages	4
ISBN (Electronic)	9798400711145
DOIs	https://doi.org/10.1145/3678884.3681815
Publication status	Published - 13 Nov 2024
Event	The 27th ACM Conference on Computer-Supported Cooperative Work and Social Computing - Costa Rica Convention Center, San José, Costa Rica Duration: 9 Nov 2024 → 13 Nov 2024 Conference number: 27 https://cscw.acm.org/2024/

Conference

Conference	The 27th ACM Conference on Computer-Supported Cooperative Work and Social Computing
Abbreviated title	CSCW 2024
Country/Territory	Costa Rica
City	San José
Period	9/11/24 → 13/11/24
Internet address	https://cscw.acm.org/2024/

Keywords / Materials (for Non-textual outputs)

social media
Twitter
datasets
data analysis
network analysis

Access to Document

10.1145/3678884.3681815Licence: Creative Commons: Attribution (CC-BY)

AlHaririEtalCSCW2024TwiXplorerFinal published version, 1.56 MBLicence: Creative Commons: Attribution (CC-BY)

Cite this

Al Hariri, Y., Chausson, S., Ross, B., & Magdy, W. (2024). TwiXplorer: An interactive tool for narrative detection and analysis in historic Twitter data. In CSCW Companion '24: Companion Publication of the 2024 Conference on Computer-Supported Cooperative Work and Social Computing (pp. 83-86). Association for Computing Machinery (ACM). https://doi.org/10.1145/3678884.3681815

@inproceedings{16eaa47b646742f28eb45fb23de18fa8,

title = "TwiXplorer: An interactive tool for narrative detection and analysis in historic Twitter data",

abstract = "We present TwiXplorer, an interactive tool to explore and understand static Twitter (X) datasets. While obtaining new data from X has become more challenging for academics, there are still rich datasets available that have largely been untapped, for example, from the “The Twitter Stream Grab” project at the Internet Archive. Accessing and exploring this historical Twitter data is crucial for researchers interested in studying the history of social media. Our system is more advanced and easy to use than existing options and demonstrates how AI can help and be integrated into a process to make sense of large datasets. The tool is accessed through a web-based dashboard and designed with interaction in mind: the analyst can iteratively explore the data instead of being presented with static reports. We make the tool fully open source.",

keywords = "social media, Twitter, datasets, data analysis, network analysis",

author = "{Al Hariri}, Youssef and Sandrine Chausson and Bj{\"o}rn Ross and Walid Magdy",

year = "2024",

month = nov,

day = "13",

doi = "10.1145/3678884.3681815",

language = "English",

pages = "83--86",

booktitle = "CSCW Companion '24",

publisher = "Association for Computing Machinery (ACM)",

address = "United States",

note = "The 27th ACM Conference on Computer-Supported Cooperative Work and Social Computing, CSCW 2024 ; Conference date: 09-11-2024 Through 13-11-2024",

url = "https://cscw.acm.org/2024/",

}

Al Hariri, Y, Chausson, S, Ross, B & Magdy, W 2024, TwiXplorer: An interactive tool for narrative detection and analysis in historic Twitter data. in CSCW Companion '24: Companion Publication of the 2024 Conference on Computer-Supported Cooperative Work and Social Computing. Association for Computing Machinery (ACM), New York, NY, USA, pp. 83-86, The 27th ACM Conference on Computer-Supported Cooperative Work and Social Computing, San José, Costa Rica, 9/11/24. https://doi.org/10.1145/3678884.3681815

TwiXplorer: An interactive tool for narrative detection and analysis in historic Twitter data. / Al Hariri, Youssef; Chausson, Sandrine; Ross, Björn et al.
CSCW Companion '24: Companion Publication of the 2024 Conference on Computer-Supported Cooperative Work and Social Computing. New York, NY, USA: Association for Computing Machinery (ACM), 2024. p. 83-86.

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

TY - GEN

T1 - TwiXplorer

T2 - The 27th ACM Conference on Computer-Supported Cooperative Work and Social Computing

AU - Al Hariri, Youssef

AU - Chausson, Sandrine

AU - Ross, Björn

AU - Magdy, Walid

N1 - Conference code: 27

PY - 2024/11/13

Y1 - 2024/11/13

N2 - We present TwiXplorer, an interactive tool to explore and understand static Twitter (X) datasets. While obtaining new data from X has become more challenging for academics, there are still rich datasets available that have largely been untapped, for example, from the “The Twitter Stream Grab” project at the Internet Archive. Accessing and exploring this historical Twitter data is crucial for researchers interested in studying the history of social media. Our system is more advanced and easy to use than existing options and demonstrates how AI can help and be integrated into a process to make sense of large datasets. The tool is accessed through a web-based dashboard and designed with interaction in mind: the analyst can iteratively explore the data instead of being presented with static reports. We make the tool fully open source.

AB - We present TwiXplorer, an interactive tool to explore and understand static Twitter (X) datasets. While obtaining new data from X has become more challenging for academics, there are still rich datasets available that have largely been untapped, for example, from the “The Twitter Stream Grab” project at the Internet Archive. Accessing and exploring this historical Twitter data is crucial for researchers interested in studying the history of social media. Our system is more advanced and easy to use than existing options and demonstrates how AI can help and be integrated into a process to make sense of large datasets. The tool is accessed through a web-based dashboard and designed with interaction in mind: the analyst can iteratively explore the data instead of being presented with static reports. We make the tool fully open source.

KW - social media

KW - Twitter

KW - datasets

KW - data analysis

KW - network analysis

U2 - 10.1145/3678884.3681815

DO - 10.1145/3678884.3681815

M3 - Conference contribution

SP - 83

EP - 86

BT - CSCW Companion '24

PB - Association for Computing Machinery (ACM)

CY - New York, NY, USA

Y2 - 9 November 2024 through 13 November 2024

ER -

Al Hariri Y, Chausson S, Ross B , Magdy W. TwiXplorer: An interactive tool for narrative detection and analysis in historic Twitter data. In CSCW Companion '24: Companion Publication of the 2024 Conference on Computer-Supported Cooperative Work and Social Computing. New York, NY, USA: Association for Computing Machinery (ACM). 2024. p. 83-86 doi: 10.1145/3678884.3681815

TwiXplorer: An interactive tool for narrative detection and analysis in historic Twitter data

Abstract / Description of output

Conference

Keywords / Materials (for Non-textual outputs)

Access to Document

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Cite this