Episode 25 Show Notes

If you enjoyed this episode and want to learn more, here are some materials to check out:

Nigel’s website

http://www.cs.ox.ac.uk/people/nigel.shadbolt/ 

Some of Nigel’s Articles:

Some of Nigel’s Books:

Nigel’s Social Media:

Twitter: @Nigel_Shadbolt

Lab website 

Nigel’s Recent Talks:

Sir Tim Berners-Lee and Sir Nigel Shadbolt in conversation: “The Web, internet and data during the pandemic: lessons learnt and new directions”

Keynote Speech by Sir Nigel Shadbolt|WWW 2020

Artificial Intelligence and Open Data: A Conversation with Sir Nigel Shadbolt

Episode 21 Show Notes

If you enjoyed this episode and want to learn more, here are some materials to check out:

Some of Taha Yasseri’s Articles:

Taha Yasseri’s Book:

Margetts, H., John, P., Hale, S., & Yasseri, T. (2015). Political turbulence: How social media shape collective action. Princeton University Press. https://press.princeton.edu/books/hardcover/9780691159225/political-turbulence 

Taha Yasseri’s Social Media:

Twitter: @TahaYasseri

Taha Yasseri’s TEDx Talk:

The Internet and your inner English tea merchant

 

 

Episode 20 Show Notes

Some of Richard Rogers’ Articles:

Rogers, R. (2020). Deplatforming: Following extreme Internet celebrities to Telegram and alternative social media. European Journal of Communication, 35(3), 213-229. https://doi.org/10.1177/0267323120922066 

Rogers, R. (2020). The scale of Facebook’s problem depends upon how ‘fake news’ is classified. Harvard Kennedy School Misinformation Review , 1(6). https://doi.org/10.37016/mr-2020-43 

Rogers, R. (2019). Periodizing Web Archiving: Biographical, Event-Based, National and Autobiographical Traditions. In N. Brügger, & I. Milligan (Eds.), The SAGE Handbook of Web History (pp. 42-56). Los Angeles: SAGE. [download]

Rogers, R. (2018). Aestheticizing Google critique: A 20-year retrospective. Big Data & Society, 5(1), 1-13. https://doi.org/10.1177/2053951718768626

Rogers, R. (2018). Otherwise Engaged: Social Media from Vanity Metrics to Critical Analytics. International Journal of Communication : IJoC, 12, 450-472. [download]

Rogers, R. (2013). Debanalizing Twitter: The Transformation of an Object of Study. In Proceedings of the 5th Annual ACM Web Science Conference, 2013: Paris, France : WebSci ’13 (pp. 356-365). New York, NY: Association for Computing Machinery. https://doi.org/10.1145/2464464.2464511

Richard Rogers’ Books:

Rogers, R. (2019). Doing Digital Methods. Los Angeles: Sage. [multiple chapters]

Rogers, R. (2013). Digital Methods. Cambridge, MA: MIT Press. [first chapter]

Rogers, R. (2004). Information Politics on the Web. Cambridge, MA: MIT Press. [first chapter]

Richard Rogers’ Social Media:

Website: https://www.digitalmethods.net

Twitter: @richardrogers

Recent News Appearances about Trump’s deplatforming:

NBC News, https://www.youtube.com/watch?v=_ZYBqQwvDMgCNN News, https://www.youtube.com/watch?v=ARbuMFL-PqM&t=1s

Episode 18 Show Notes

Matt’s Website:

http://www.matthewsweber.com

Some of Matt’s Articles:

Weber, M. S., & Napoli, P. (2018). Journalism history, web archives, and new methods for understanding the evolution of digital journalism. Digital Journalism, 6(9), 1186-1205. 10.1080/21670811.2018.1510293

Weber, M. S. (2018). Methods and approaches to using web archives in computational communication research. Communication Methods and Measures. 12(2-3), 200-215. doi: 10/1080/19312458.2018/1447657

Weber, M. S., & Kosterich, A.* (2018). Coding the news: The role of computer code in filtering and distributing news. Digital Journalism. doi:10.1080/21670811.2017.1366865

Gesualdo, N.*, Weber, M. S., & Yanovitzky, I. (2020). Journalists as knowledge brokers. Journalism Studies. 21(1). 127-143.  doi: 10.1080/1461670X.2019.1632734

Matt’s Book:

Weber, M. S. & Yanovitzky, I. (Eds.). (In Press). Networks of public policymaking. New York, NY: Palgrave. 

Matt’s Twitter:

@docmattweber

Episode 14 Show Notes

If you enjoyed this episode and want to learn more, here are some materials to check out:

Web Resources Related to Rob’s Academic Work:

Some of Rob’s Articles:

  • Ackland, R. (2005), “Mapping the U.S. Political Blogosphere: Are Conservative Bloggers More Prominent?,” refereed paper presented at BlogTalk Downunder 2005, 19-22 May, Sydney. [pre-print]
  • Ackland, R. and J. Shorish (2009), “Network Formation in the Political Blogosphere: An Application of Agent Based Simulation and e-Research Tools,” Computational Economics, 34(4), 383-398. [pre-print]
  • Ackland, R. and M. O’Neil (2011), “Online collective identity: The case of the environmental movement,” Social Networks, 33, 177-190. This paper received the 2012 Communication and Information Technologies Section of the American Sociological Association (CITASA) Paper Award. [pre-print]
  • R. Ackland and R. Gibson (2013), “Hyperlinks and Networked Communication: A Comparative Study of Political Parties Online,” International Journal of Social Research Methodology, 16(3), special issue on Computational Social Science: Research Strategies, Design & Methods, 231-244. [pre-print]
  • Ackland, R. and A. Evans (2017), “Using the Web to Examine the Evolution of the Abortion Debate in Australia 2005-2015,” in N. Brügger and R. Schroeder (eds), Web as History. London: UCL Press. [open access book] [pre-print of chapter]
  • Graham, T. and R. Ackland (2017), “Do Socialbots Dream of Popping the Filter Bubble? The Role of Socialbots in Promoting Deliberative Democracy in Social Media”,  in M. Bakardjieva and R. W. Gehl (eds) Socialbots and Their Friends: Digital Media and the Automation of Sociality. New York: Routledge. [pre-print]
  • Raissi, M. and R. Ackland (2021), “Important relationships in a multilevel world: The role of network structure in explaining closeness of relationships and access to resources in later life,” forthcoming in Journal of Social and Personal Relationships.

Rob’s Book:

Ackland, R. (2013), Web Social Science: Concepts, Data and Tools for Social Scientists in the Digital Age, SAGE Publications. 

VOSON Lab R tools:

  • VOSON Dashboard – R Shiny application for interactive analysis of networks created by vosonSML. GitHub CRAN
  • vosonSML – R package for collecting social media and web data (Twitter, YouTube, Reddit and WWW hyperlinks) and generating different types of networks for analysis. GitHub CRAN
  • voson.tcn – R package for collecting threaded twitter conversations and generating networks. GitHub
  • VOSON Lab Coding Blog

Rob’s Social Media:

Twitter: @robackland

VOSON Lab on Twitter: @vosonlab

Episode 13 Show Notes

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Jaime’s website:

http://teevan.org

The New Future of Work

This episode primarily asked Jaime questions about The New Future of Work, the world’s largest compilation of research and resources of how COVID-19 has changed work. Find it below:

Relevant Papers