Thu. Mar 28th, 2024
ARCHIVED CONTENT
You are viewing ARCHIVED CONTENT released online between 1 April 2010 and 24 August 2018 or content that has been selectively archived and is no longer active. Content in this archive is NOT UPDATED, and links may not function.
 

Presented during the 2012 ACM Conference on Computer Supported Cooperative Work (CSCW 2012), the following original research on “the value of microblog content” is shared for your review and consideration.

Prepared by Paul Andre (Carnegie Mellon University), Michael Bernstein (MIT) and Kurt Luther (Georgia Institute of Technology), “Who Gives a Tweet: Evaluating Microblog Content Value” offers quantifiable insight into the perceived value of Twitter “tweets” through the lens of content, context and evolving social norms. 

Primary questions considered as part of this milestone study of over 43,000 volunteer ratings on Twitter include:

  • What content do Twitter users value?
  • Why are some tweets valued more than others?

“Conventional wisdom exists around these questions, but to our knowledge this is the first work to rigorously examine whether the commonly held truths are accurate. Further, by collecting many ratings, we are able to quantify effect sizes. A better understanding of content value will allow us to improve the overall experience of microblogging.”  (Study Authors)

Predictors of “tweet” value in this study were based on “worth reading””neutral” or “not worth reading” ratings of individual tweets from eight specific categories that included.

  • Information Sharing
  • Question to Followers
  • Random Thought
  • Self-Promotion
  • Opinion / Complaint
  • Me Now
  • Conversation
  • Presence Maintenance

Additionally, the reasons for determining whether a tweet was “liked” or “disliked” ranged from:

Reasons for Liking

  • Informative
  • Funny
  • Useful
  • Exciting

Reasons for Disliking

  • Boring
  • Arrogant
  • Depressing
  • Mean

PDF Version of Study:  Click here.

Source: “Who Gives a Tweet: Evaluating Microblog Content Value” – Paul Andre (Carnegie Mellon University), Michael Bernstein (MIT) and Kurt Luther (Georgia Institute of Technology) – as prepared for CSCW’12, February 11–15, 2012, Seattle, Washington.

 

Generative Artificial Intelligence and Large Language Model Use

ComplexDiscovery OÜ recognizes the value of GAI and LLM tools in streamlining content creation processes and enhancing the overall quality of its research, writing, and editing efforts. To this end, ComplexDiscovery OÜ regularly employs GAI tools, including ChatGPT, Claude, Midjourney, and DALL-E, to assist, augment, and accelerate the development and publication of both new and revised content in posts and pages published (initiated in late 2022).

ComplexDiscovery also provides a ChatGPT-powered AI article assistant for its users. This feature leverages LLM capabilities to generate relevant and valuable insights related to specific page and post content published on ComplexDiscovery.com. By offering this AI-driven service, ComplexDiscovery OÜ aims to create a more interactive and engaging experience for its users, while highlighting the importance of responsible and ethical use of GAI and LLM technologies.

 

Have a Request?

If you have information or offering requests that you would like to ask us about, please let us know, and we will make our response to you a priority.

ComplexDiscovery OÜ is a highly recognized digital publication focused on providing detailed insights into the fields of cybersecurity, information governance, and eDiscovery. Based in Estonia, a hub for digital innovation, ComplexDiscovery OÜ upholds rigorous standards in journalistic integrity, delivering nuanced analyses of global trends, technology advancements, and the eDiscovery sector. The publication expertly connects intricate legal technology issues with the broader narrative of international business and current events, offering its readership invaluable insights for informed decision-making.

For the latest in law, technology, and business, visit ComplexDiscovery.com.