DOE PAGES title logo U.S. Department of Energy
Office of Scientific and Technical Information

Title: Cross-platform analysis of public responses to the 2019 Ridgecrest earthquake sequence on Twitter and Reddit

Abstract

Online social networks (OSNs) have become a powerful tool to study collective human responses to extreme events such as earthquakes. Most previous research concentrated on a single platform and utilized users’ behaviors on a single platform to study people’s general responses. In this study, we explore the characteristics of people’s behaviors on different OSNs and conduct a cross-platform analysis of public responses to earthquakes. Our findings support the Uses and Gratification theory that users on Reddit and Twitter are engaging with platforms that they may feel best reflect their sense of self. Using the 2019 Ridgecrest earthquakes as our study cases, we collected 510,579 tweets and 45,770 Reddit posts (including 1437 submissions and 44,333 comments) to answer the following research questions: (1) What were the similarities and differences between public responses on Twitter and Reddit? (2) Considering the different mechanisms of Twitter and Reddit, what unique information of public responses can we learn from Reddit as compared with Twitter? By answering these research questions, we aim to bridge the gap of cross-platform public responses research towards natural hazards. Our study evinces that the users on the two different platforms have both different topics of interest and different sentiments towards themore » same earthquake, which indicates the necessity of investigating cross-platform OSNs to reveal a more comprehensive picture of people’s general public responses towards certain disasters. Our analysis also finds that r/conspiracy subreddit is one of the major venues where people discuss the 2019 Ridgecrest earthquakes on Reddit and different misinformation/conspiracies spread on Twitter and Reddit platforms (e.g., “Big one is coming” on Twitter and “Nuclear test” on Reddit).« less

Authors:
 [1];  [2];  [3];  [1];  [1]
  1. Univ. of Colorado, Boulder, CO (United States)
  2. Lawrence Livermore National Lab. (LLNL), Livermore, CA (United States)
  3. U.S. Geological Survey, Menlo Park, CA (United States)
Publication Date:
Research Org.:
Lawrence Livermore National Lab. (LLNL), Livermore, CA (United States)
Sponsoring Org.:
USDOE National Nuclear Security Administration (NNSA)
OSTI Identifier:
1843138
Report Number(s):
LLNL-JRNL-823001
Journal ID: ISSN 2045-2322; 1035698
Grant/Contract Number:  
AC52-07NA27344
Resource Type:
Accepted Manuscript
Journal Name:
Scientific Reports
Additional Journal Information:
Journal Volume: 12; Journal Issue: 1; Journal ID: ISSN 2045-2322
Publisher:
Nature Publishing Group
Country of Publication:
United States
Language:
English
Subject:
58 GEOSCIENCES; Environmental social sciences; Natural hazards

Citation Formats

Ruan, Tao, Kong, Qingkai, McBride, Sara K., Sethjiwala, Amatullah, and Lv, Qin. Cross-platform analysis of public responses to the 2019 Ridgecrest earthquake sequence on Twitter and Reddit. United States: N. p., 2022. Web. doi:10.1038/s41598-022-05359-9.
Ruan, Tao, Kong, Qingkai, McBride, Sara K., Sethjiwala, Amatullah, & Lv, Qin. Cross-platform analysis of public responses to the 2019 Ridgecrest earthquake sequence on Twitter and Reddit. United States. https://doi.org/10.1038/s41598-022-05359-9
Ruan, Tao, Kong, Qingkai, McBride, Sara K., Sethjiwala, Amatullah, and Lv, Qin. Mon . "Cross-platform analysis of public responses to the 2019 Ridgecrest earthquake sequence on Twitter and Reddit". United States. https://doi.org/10.1038/s41598-022-05359-9. https://www.osti.gov/servlets/purl/1843138.
@article{osti_1843138,
title = {Cross-platform analysis of public responses to the 2019 Ridgecrest earthquake sequence on Twitter and Reddit},
author = {Ruan, Tao and Kong, Qingkai and McBride, Sara K. and Sethjiwala, Amatullah and Lv, Qin},
abstractNote = {Online social networks (OSNs) have become a powerful tool to study collective human responses to extreme events such as earthquakes. Most previous research concentrated on a single platform and utilized users’ behaviors on a single platform to study people’s general responses. In this study, we explore the characteristics of people’s behaviors on different OSNs and conduct a cross-platform analysis of public responses to earthquakes. Our findings support the Uses and Gratification theory that users on Reddit and Twitter are engaging with platforms that they may feel best reflect their sense of self. Using the 2019 Ridgecrest earthquakes as our study cases, we collected 510,579 tweets and 45,770 Reddit posts (including 1437 submissions and 44,333 comments) to answer the following research questions: (1) What were the similarities and differences between public responses on Twitter and Reddit? (2) Considering the different mechanisms of Twitter and Reddit, what unique information of public responses can we learn from Reddit as compared with Twitter? By answering these research questions, we aim to bridge the gap of cross-platform public responses research towards natural hazards. Our study evinces that the users on the two different platforms have both different topics of interest and different sentiments towards the same earthquake, which indicates the necessity of investigating cross-platform OSNs to reveal a more comprehensive picture of people’s general public responses towards certain disasters. Our analysis also finds that r/conspiracy subreddit is one of the major venues where people discuss the 2019 Ridgecrest earthquakes on Reddit and different misinformation/conspiracies spread on Twitter and Reddit platforms (e.g., “Big one is coming” on Twitter and “Nuclear test” on Reddit).},
doi = {10.1038/s41598-022-05359-9},
journal = {Scientific Reports},
number = 1,
volume = 12,
place = {United States},
year = {Mon Jan 31 00:00:00 EST 2022},
month = {Mon Jan 31 00:00:00 EST 2022}
}

Works referenced in this record:

Social Media, Crisis Mapping and the Christchurch Earthquakes of 2011
journal, November 2014

  • Beatson, Abi; Buettner, Angi; Schirato, Tony
  • MEDIANZ: Media Studies Journal of Aotearoa New Zealand, Vol. 14, Issue 1
  • DOI: 10.11157/medianz-vol14iss1id105

The Psychological Meaning of Words: LIWC and Computerized Text Analysis Methods
journal, December 2009

  • Tausczik, Yla R.; Pennebaker, James W.
  • Journal of Language and Social Psychology, Vol. 29, Issue 1
  • DOI: 10.1177/0261927X09351676

Uses and Gratifications Research
journal, January 1973

  • Katz, Elihu; Blumler, Jay G.; Gurevitch, Michael
  • Public Opinion Quarterly, Vol. 37, Issue 4
  • DOI: 10.1086/268109

XHELP: Design of a Cross-Platform Social-Media Application to Support Volunteer Moderators in Disasters
conference, April 2015

  • Reuter, Christian; Ludwig, Thomas; Kaufhold, Marc-André
  • CHI '15: CHI Conference on Human Factors in Computing Systems, Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems
  • DOI: 10.1145/2702123.2702171

Involvement of Social Media in Disaster Management during the Wenchuan and Ya'an Earthquakes
journal, August 2014


A tale of two sites: Twitter vs. Facebook and the personality predictors of social media usage
journal, March 2012


Teachers on Reddit? Exploring contributions and interactions in four teaching-related subreddits
journal, February 2020

  • Staudt Willet, K. Bret; Carpenter, Jeffrey P.
  • Journal of Research on Technology in Education, Vol. 52, Issue 2
  • DOI: 10.1080/15391523.2020.1722978

#mytweet via Instagram: Exploring User Behaviour across Multiple Social Networks
conference, August 2015

  • Lim, Bang Hui; Lu, Dongyuan; Chen, Tao
  • ASONAM '15: Advances in Social Networks Analysis and Mining 2015, Proceedings of the 2015 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining 2015
  • DOI: 10.1145/2808797.2808820

Social media-based disaster research: Development, trends, and obstacles
journal, March 2021


A dirichlet multinomial mixture model-based approach for short text clustering
conference, August 2014

  • Yin, Jianhua; Wang, Jianyong
  • KDD '14: The 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Proceedings of the 20th ACM SIGKDD international conference on Knowledge discovery and data mining
  • DOI: 10.1145/2623330.2623715

Information retrieval of a disaster event from cross-platform social media
journal, November 2017

  • Shen, Shi; Murzintcev, Nikita; Song, Changqing
  • Information Discovery and Delivery, Vol. 45, Issue 4
  • DOI: 10.1108/IDD-01-2017-0003

Social media and early warning systems for natural disasters: A case study of Typhoon Etau in Japan
journal, January 2021


Online public communications by police & fire services during the 2012 Hurricane Sandy
conference, January 2014

  • Hughes, Amanda L.; St. Denis, Lise A. A.; Palen, Leysia
  • Proceedings of the 32nd annual ACM conference on Human factors in computing systems - CHI '14
  • DOI: 10.1145/2556288.2557227

Information Diffusion on Social Media During Natural Disasters
journal, March 2018

  • Dong, Rongsheng; Li, Libing; Zhang, Qingpeng
  • IEEE Transactions on Computational Social Systems, Vol. 5, Issue 1
  • DOI: 10.1109/TCSS.2017.2786545

Earthquake Beliefs and Adoption of Seismic Hazard Adjustments
journal, February 2004


Short Text Topic Modeling Techniques, Applications, and Performance: A Survey
journal, March 2022

  • Qiang, Jipeng; Qian, Zhenyu; Li, Yun
  • IEEE Transactions on Knowledge and Data Engineering, Vol. 34, Issue 3
  • DOI: 10.1109/TKDE.2020.2992485

The Normal-Faulting 2020 Mw 5.8 Lone Pine, Eastern California, Earthquake Sequence
journal, December 2020

  • Hauksson, Egill; Olson, Brian; Grant, Alex
  • Seismological Research Letters, Vol. 92, Issue 2A
  • DOI: 10.1785/0220200324

ShakeAlert Earthquake Early Warning System Performance during the 2019 Ridgecrest Earthquake Sequence
journal, July 2020

  • Chung, Angela I.; Meier, Men-Andrin; Andrews, Jennifer
  • Bulletin of the Seismological Society of America, Vol. 110, Issue 4
  • DOI: 10.1785/0120200032

Social Networking Sites in the Aftermath of a Crisis - the Enabling Role for Self-organization
conference, January 2018

  • Fischer, Diana
  • Proceedings of the Annual Hawaii International Conference on System Sciences
  • DOI: 10.24251/HICSS.2018.012

Twicalli: An Earthquake Detection System Based on Citizen Sensors Used for Emergency Response in Chile
conference, August 2017

  • Poblete, Barbara
  • SIGIR '17: The 40th International ACM SIGIR conference on research and development in Information Retrieval, Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval
  • DOI: 10.1145/3077136.3096474

Social media use in emergency management
journal, July 2015


Crisis information distribution on Twitter: a content analysis of tweets during Hurricane Sandy
journal, June 2017


Hierarchical interlocked orthogonal faulting in the 2019 Ridgecrest earthquake sequence
journal, October 2019


Functions of and Communication Behavior on Twitter After The 2015 Nepal Earthquake
journal, June 2016

  • Malasig, Bryan James C.; Quinto, Edward Jay M.
  • Jurnal Komunikasi, Malaysian Journal of Communication, Vol. 32, Issue 1
  • DOI: 10.17576/JKMJC-2016-3201-07

Earthquake shakes Twitter users: real-time event detection by social sensors
conference, January 2010

  • Sakaki, Takeshi; Okazaki, Makoto; Matsuo, Yutaka
  • Proceedings of the 19th international conference on World wide web - WWW '10
  • DOI: 10.1145/1772690.1772777

Reddit.com: A census of subreddits
conference, June 2015

  • Mills, Richard A.
  • WebSci '15: ACM Web Science Conference, Proceedings of the ACM Web Science Conference
  • DOI: 10.1145/2786451.2786491

Techniques and applications for sentiment analysis
journal, April 2013


More Than Just Cat Pictures: Reddit as a Curated News Source
journal, January 2015


Temporal network analysis of inter-organizational communications on social media during disasters: A study of Hurricane Harvey in Houston
journal, June 2020

  • Rajput, Akhil Anil; Li, Qingchun; Zhang, Cheng
  • International Journal of Disaster Risk Reduction, Vol. 46
  • DOI: 10.1016/j.ijdrr.2020.101622

RESEARCHING NEWS DISCUSSION ON TWITTER: New methodologies
journal, October 2012


Science to emergency management response
journal, June 2017

  • Woods, Richard J.; McBride, Sara K.; Wotherspoon, Liam M.
  • Bulletin of the New Zealand Society for Earthquake Engineering, Vol. 50, Issue 2
  • DOI: 10.5459/bnzsee.50.2.329-337

Use of social media in crisis management: A survey
journal, September 2020


Screaming into the Wind: Examining the Volume and Content of Tweets Associated with Hurricane Sandy
journal, October 2014


#EarthquakeAdvisory: Exploring Discourse between Government Officials, News Media, and Social Media during the 2016 Bombay Beach Swarm
journal, November 2019

  • McBride, Sara K.; Llenos, Andrea L.; Page, Morgan T.
  • Seismological Research Letters, Vol. 91, Issue 1
  • DOI: 10.1785/0220190082

Overlooking the victims: Civic engagement on Twitter during Indonesia's 2019 fire and haze disaster
journal, June 2021

  • Hasfi, Nurul; Fisher, Micah R.; Sahide, Muhammad A. K.
  • International Journal of Disaster Risk Reduction, Vol. 60
  • DOI: 10.1016/j.ijdrr.2021.102271

Rapid Public Information and Situational Awareness After the November 26, 2019, Albania Earthquake: Lessons Learned From the LastQuake System
journal, August 2020


Online communities of practice typology revisited
journal, August 2009

  • Hara, Noriko; Shachaf, Pnina; Stoerger, Sharon
  • Journal of Information Science, Vol. 35, Issue 6
  • DOI: 10.1177/0165551509342361

Emergency knowledge management and social media technologies: A case study of the 2010 Haitian earthquake
journal, February 2011


Word network topic model: a simple but general solution for short and imbalanced texts
journal, September 2015


Sentiment analysis algorithms and applications: A survey
journal, December 2014


Understanding the evolutions of public responses using social media: Hurricane Matthew case study
journal, December 2020


Topic Modeling of Short Texts: A Pseudo-Document View
conference, August 2016

  • Zuo, Yuan; Wu, Junjie; Zhang, Hui
  • KDD '16: The 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining
  • DOI: 10.1145/2939672.2939880

Twitter for disaster relief through sentiment analysis for COVID-19 and natural hazard crises
journal, March 2021


Mitigating information overload in social media during conflicts and crises: design and evaluation of a cross-platform alerting system
journal, May 2019


An Analysis of Twitter Responses to the 2019 Ridgecrest Earthquake Sequence
conference, December 2020

  • Ruan, Tao; Kong, Qingkai; Zhang, Yawen
  • 2020 IEEE Intl Conf on Parallel & Distributed Processing with Applications, Big Data & Cloud Computing, Sustainable Computing & Communications, Social Computing & Networking (ISPA/BDCloud/SocialCom/SustainCom)
  • DOI: 10.1109/ISPA-BDCloud-SocialCom-SustainCom51426.2020.00127

Where should one get news updates: Twitter or Reddit
journal, January 2019


Editorial of the Special Issue on Following User Pathways: Key Contributions and Future Directions in Cross-Platform Social Media Research
journal, May 2018

  • Hall, Margeret; Mazarakis, Athanasios; Chorley, Martin
  • International Journal of Human–Computer Interaction, Vol. 34, Issue 10
  • DOI: 10.1080/10447318.2018.1471575

OMG Earthquake! Can Twitter Improve Earthquake Response?
journal, March 2010

  • Earle, P.; Guy, M.; Buckmaster, R.
  • Seismological Research Letters, Vol. 81, Issue 2
  • DOI: 10.1785/gssrl.81.2.246