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Quantity or quality? Comparing social media data sampling strategies for government crisis communication research
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Quantity or quality? Comparing social media data sampling strategies for government crisis communication research (2025)Quantity or quality? 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Potential Biases of Big Data Derived from Social Network Sites (2015)Is Bigger Always Better? Pote…Towards more systematic Twitter analysis: metrics for tweeting activities (2013)Towards more systematic Twitt…Computational Social Science (2009)Computational Social ScienceCrisis and Emergency Risk Communication as an Integrative Model (2005)Crisis and Emergency Risk Com…On the Challenges of Cross-National Comparative Media Research (2003)On the Challenges of Cross-Na…Twitter adoption and use in mass convergence and emergency events (2009)Twitter under crisis (2010)What Makes Online Content Viral? (2011)Social Media Analytics (2014)Twitter activism and youth in South Africa: the case of #RhodesMustFall (2016)An exploratory study of COVID-19 misinformation on Twitter (2021)The Organizational and Interorganizational Development of Disasters (1976)Communication Yearbook 15. 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References

  • 2009Computational Social Science3,359 cited
  • 2005Crisis and Emergency Risk Communication as an Integrative Model1,288 cited
  • 2021What social media told us in the time of COVID-19: a scoping review816 cited
  • 2017Social media analytics – Challenges in topic discovery, data collection, and data preparation806 cited
  • 2015Twitter use in election campaigns: A systematic literature review788 cited
  • 2020Tracking Social Media Discourse About the COVID-19 Pandemic: Development of a Public Coronavirus Twitter Data Set772 cited
  • 2021Toward effective government communication strategies in the era of COVID-19490 cited
  • 2020How a torrent of COVID science changed research publishing — in seven charts387 cited
  • 2013Towards more systematic Twitter analysis: metrics for tweeting activities368 cited
  • 2021COVID-19 Vaccine–Related Discussion on Twitter: Topic Modeling and Sentiment Analysis337 cited
  • 2018Potential Biases in Big Data: Omitted Voices on Social Media333 cited
  • 2003On the Challenges of Cross-National Comparative Media Research324 cited
  • 2020Theory building with big data-driven research – Moving away from the “What” towards the “Why”301 cited
  • 2015Is Bigger Always Better? Potential Biases of Big Data Derived from Social Network Sites267 cited

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  • 2020Examining risk and crisis communications of government agencies and stakeholders during early-stages of COVID-19 on Twitter257 cited
  • 2017Comparative Research Methods246 cited
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