OSoMe: the IUNI observatory on social media

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PeerJ Computer Science
The OSoMe website is also available at truthy.indiana.edu. The original website was created to host our first demo, motivated by the application of social media analytics to the study of “astroturf,” or artificial grassroots social media campaigns orchestrated through fake accounts and social bots (Ratkiewicz et al., 2011b). The Truthy nickname was later adopted in the media to refer to the entire project. The current website includes information about other research projects on information diffusion and social bots from our lab.
Research based on this data was deemed exempt from review by the Indiana University IRB under Protocol #1102004860.

Main article text

 

Introduction

Data Source

System Architecture

Applications

Temporal Trends

Diffusion and co-occurrence networks

Interactive network visualization

Animations

Geographic maps

API

  • tweet-id: returns a list of tweet IDs mentioning at least one of the inputs in the given interval;

  • counts: returns a count of the number of tweets mentioning each input token in the given interval;

  • time-series: for each day in the given time interval, returns a count of tweets matching any of the input tokens;

  • user-post-count: returns a list of user IDs mentioning any of the tokens in the given time frame, along with a count of matching tweets produced by each user.

Evaluation

Conclusion

Additional Information and Declarations

Competing Interests

Filippo Menczer is an Academic Editor for PeerJ Computer Science. Xiaoming Gao is an employee of Facebook; Luca Maria Aiello is an employee of Bell Labs; Snehal Patil is an employee of Yahoo!; Mike Conover is an employee of LinkedIn; Mark Meiss, Jacob Ratkiewicz, and Alex Rudnick are employees of Google; Lilian Weng is an employee of Affirm; and Tak-Lon Wu is an employee of Amazon.

Author Contributions

Clayton A. Davis and Giovanni Luca Ciampaglia wrote the paper, prepared figures and/or tables, performed the computation work, reviewed drafts of the paper.

Benjamin Serrette prepared figures and/or tables, performed the computation work, reviewed drafts of the paper.

Filippo Menczer wrote the paper, prepared figures and/or tables, reviewed drafts of the paper.

Ethics

The following information was supplied relating to ethical approvals (i.e., approving body and any reference numbers):

This study was deemed exempt from review by the Indiana University IRB office under Protocol #1102004860.

Data Availability

The following information was supplied regarding data availability:

Data from the OSoMe are available through an API and through interactive apps. Use of the data is subject to the terms of the Twitter Developer Agreement (https://dev.twitter.com/overview/terms/agreement). For more information please visit: http://osome.iuni.iu.edu/.

It is important to note that, in compliance with the Twitter terms of service (https://dev.twitter.com/overview/terms/policy), OSoMe does not provide access to the content of tweets. However, researchers can obtain numeric object identifiers in response to their queries. This information can then be used to retrieve tweet content via the official Twitter API.

Funding

This work was supported in part by NSF (grants CCF-1101743 and OCI-1149432), the J.S. McDonnell Foundation (grant 220020274), the Swiss National Science Foundation (fellowship PBTIP2_142353), the Lilly Endowment, the Center for Complex Networks and Systems Research (CNetS), the Digital Science Center (DSC), and the Indiana University Network Science Institute (IUNI). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.

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