Episode 18: Web Archiving with Matt Weber

 

In this episode (22 minutes long), we talk with Matt Weber, a faculty member in the Department of Communication at the School of Communication and Information at Rutgers University. With more than a decade of experience researching information ecosystems, organizations and communities, Matt focuses on the use of large scale web data to study processes of change. In addition, Matt has been an active member of the web science community. He’s the program co-chair for the ACM 2021 Web Science Conference, and delivered a keynote at this year’s conference. 

In this episode, Matt explains the process of web archiving, along with some of the questions it enables us to explore. He touches on how his own research, some of which centers on news media production, fits into all this. And he discusses some of the challenges and issues that surround web archiving, as well as pathways to solutions. To hear these insights and more, listen to this episode.

Click here for this episode’s transcript, and here for this episode’s show notes.

Episode 17 Show Notes

Emilio’s Website:

Home

Some of Emilio’s Articles:

Ferrara, E., Varol, O., Davis, C., Menczer, F., & Flammini, A. (2016). The rise of social bots. Communications of the ACM, 59(7), 96-104.

Bessi, A., & Ferrara, E. (2016). Social bots distort the 2016 US Presidential election online discussion. First Monday, 21(11-7).

Ferrara, E. (2017). Disinformation and social bot operations in the run up to the 2017 French presidential election. First Monday, 22(8)

Badawy, A., Ferrara, E., & Lerman, K. (2018, August). Analyzing the digital traces of political manipulation: The 2016 russian interference twitter campaign. In 2018 IEEE/ACM international conference on advances in social networks analysis and mining (ASONAM) (pp. 258-265). IEEE.

Stella, M., Ferrara, E., & De Domenico, M. (2018). Bots increase exposure to negative and inflammatory content in online social systems. Proceedings of the National Academy of Sciences, 115(49), 12435-12440.

Badawy, A., Lerman, K., & Ferrara, E. (2019, May). Who falls for online political manipulation?. In Companion Proceedings of The 2019 World Wide Web Conference (pp. 162-168).

Chen, E., Lerman, K., & Ferrara, E. (2020). Tracking social media discourse about the covid-19 pandemic: Development of a public coronavirus twitter data set. JMIR Public Health and Surveillance, 6(2), e19273.

Jiang, J., Chen, E., Yan, S., Lerman, K., & Ferrara, E. (2020). Political polarization drives online conversations about COVID‐19 in the United States. Human Behavior and Emerging Technologies, 2(3), 200-211.

Ferrara, E. (2020). What types of covid-19 conspiracies are populated by twitter bots?. First Monday, 25(6).

Ferrara, E., Chang, H., Chen, E., Muric, G., & Patel, J. (2020). Characterizing social media manipulation in the 2020 US presidential election. First Monday, 25(11).

Chen, E., Chang, H., Rao, A., Lerman, K., Cowan, G., & Ferrara, E. (2021). COVID-19 misinformation and the 2020 US presidential election. The Harvard Kennedy School Misinformation Review.

Emilio’s Social Media:

Twitter: @emilio__ferrara

Linkedin: https://www.linkedin.com/in/emilio-ferrara-160a9215/

Episode 17: Next Generation of Web Science with Emilio Ferrara

 

For this episode, (23 min) we talk with Emilio Ferrara, an Associate Professor at the University of Southern California in Los Angeles. He’s also a Research Team Leader for AI at USC’s Information Sciences Institute and the Director of the Annenberg Networks Network (ANN). Earlier this year, Emilio became the Chair of the Web Science Trust Network of Laboratories (WSTNet).

In this episode, Emilio discusses his vision for the next generation of Web Science, especially in light of his newly appointed chair position. And he also talks about some of his research into how bots can manipulate conversations around vaccines and public health. Much before COVID-19, he was involved in a DARPA challenge surrounding bots engaged in vaccination debate. Then, in January 2020, right as the pandemic was coming on the horizon, Emilio’s lab jumped on collecting data about bots spreading COVID-19 conspiracies. For insights into this and more, listen to this episode.

Click here for this episode’s transcript, and here for this episode’s show notes.

Episode 16: Exploring Identity on the Web with Aleks Krotoski

 

Our guest for this episode (23 min.) is Dr. Aleks Krotoski, an award-winning international broadcaster, author and academic. She studies and writes about technology and interactivity. Her book, “Untangling the Web: What the Internet is Doing to You,” based on her hit columns in the Guardian and Observer, was published in 2012. Since then, she’s continued to break ground in academia and journalism, and she’s currently a Visiting Fellow in the Media and Communications Department at the London School of Economics and Political Science and a Research Associate at the Oxford Internet Institute.

During this episode, Aleks talks about how our online lives have become entangled with our offline ones. Her research has found that we bring our existing ideas about society to the virtual worlds we build. But unlike in the past, there’s less space to play around with our identities online. And, there’s more consequences — for many people, the things they did 10 or 15 years ago still pop up when you search their name. What does that mean for our own growth, and how is the Web evolving, too? To hear all this and more, listen to this episode.

Click here for this episode’s transcript, and click here for this episode’s show notes.

Episode 15 Show Notes

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

Some of Munmun’s Work:

  • Ernala, S. K., Birnbaum, M. L., Candan, K., Rizvi, A., Sterling, W. A., Kane, J. M., and De Choudhury, M. (2019). Methodological Gaps in Predicting Mental Health States from Social Media: Triangulating Diagnostic Signals. In Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems (Glasgow, Scotland, May 4-9, 2019). CHI 2019. http://www.munmund.net/pubs/CHI19_MethodGaps.pdf  
  • Birnbaum, M. L.*, Ernala, S. K.*, Rizvi, A., Arenare, E., Van Meter, A., De Choudhury, M.** and Kane, J. M.** (2019). Detecting Relapse in Youth with Psychotic Disorders Utilizing Patient-Generated and Patient-Contributed Digital Data from Facebook. In Nature Partner Journal – Schizophrenia. npj Schizophrenia. * Co-first authors; ** Co-supervising authors https://www.nature.com/articles/s41537-019-0085-9 
  • Choi, D., Sumner, S., Holland, K., Draper, J., Murphy, S., Bowen, D., Zwald, M., Wang, J., Law, R., Taylor, J., Konjeti, C., and De Choudhury, M. (2020). Development of a Machine Learning Model Using Multiple, Heterogeneous Data Sources to Estimate Weekly US Suicide Fatalities. JAMA Network Open. 2020;3(12):e2030932. https://jamanetwork.com/journals/jamanetworkopen/fullarticle/2774462  
  • Chancellor, S., and De Choudhury, M. (2020). Methods in Predictive Techniques for Mental Health Status on Social Media: A Critical Review. In Nature Partner Journal – Digital Medicine. npj Digital Medicine. https://www.nature.com/articles/s41746-020-0233-7  
  • Saha, K., Torous, J. T., Caine, E. D., and De Choudhury, M. (2020). Psychosocial Effects of the COVID-19 Pandemic: Large-scale Quasi-Experimental Study on Social Media. In the Journal of Medical Internet Research. JMIR. https://www.jmir.org/2020/11/e22600  
  • Chancellor, S., Birnbaum, M. L., Caine, E., Silenzio, V., and De Choudhury, M. (2019). A Taxonomy of Ethical Tensions in Inferring Mental Health States from Social Media. In Proceedings of the 2nd ACM Conference on Fairness, Accountability, and Transparency (Atlanta GA, January 29-31, 2019), forthcoming. FAT* 2019. http://www.munmund.net/pubs/FAT*2019_EthicsTaxonomy.pdf 

Munmun’s Twitter: @munmun10 

Munmun’s Lab: Lab’s Twitter: @SocwebGT

Munmun’s Organization: @gtcomputing

 

Episode 15: Mental Health and the Web with Munmun De Choudhury

 

During this episode, (26 min. long), we talk with Munmun De Choudhury, a professor of interactive computing at the Georgia Institute of Technology, where she leads the Social Dynamics and Wellbeing Lab.  Her research centers on using social media to better understand and improve mental health. She draws on an interdisciplinary approach, combining social computing, machine learning and natural language analysis with insights and theories from the social, behavioral and health sciences.

In this episode, Munmun tells us what led to her research and why she wanted to focus on people’s wellbeing. She emphasizes how web science can help progress the ways that we currently approach mental health, but also talks about the challenges in her research. And she gets into how people signal or share about their mental health on the Web. To hear all this and more, listen to this episode.

Click here for this episode’s transcript, and click here for this episode’s show notes.

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 14: Networks on the Web with Robert Ackland

 

Our guest for this episode, (21 min. long) is Robert Ackland, a professor from the School of Sociology at the Australian National University in Canberra. Rob studies networks on the Web, and he established the Virtual Observatory for the Study of Online Networks — VOSON for short — to provide tools for research on this topic. 

During this episode, Rob talks about his early work with hyperlinks, as well as how he evolved his research and VOSON tools as we entered the social media era. He explains how he got involved in web science, as his background is mainly in economics, as well as what he’s interested in now. And he talks about how we could use social bots as a positive force for political deliberation, even as so much of research on bots focuses on their negative effects. To hear all this and more, listen to this episode.

Click here for this episode’s transcript, and click here for this episode’s show notes.

Episode 13 Show Notes

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

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