https://en.wikipedia.org/wiki/Data_Transfer_Project

see GitHub repo at https://github.com/google/data-transfer-project

https://www.comeetie.fr/galerie/mapstodon/

https://listfollowers.com/

https://pruvisto.org/debirdify/

Tool for moving some of your Twitter data over to Mastodon or other parts of the Fediverse.

While you still can, I'd highly encourage you to use TweetDeck's "Export" List function to save plain text lists of the @ names in your... Lists.

I like how Dr. Pacheco-Vega outlines some of his research process here.

Sharing it on Twitter is great, and so is storing a copy on his website. I do worry that it looks like the tweets are embedded via a simple URL method and not done individually, which means that if Twitter goes down or disappears, so does all of his work. Better would be to do a full blockquote embed method, so that if Twitter disappears he's got the text at least. Images would also need to be saved separately.

NHS Test and Trace has not spent £37bn so far. (16:10:35.640943+00:00). Full Fact. https://fullfact.org/online/37bn-test-trace-spending/

Mazumdar, S., & Thakker, D. (2020). Citizen Science on Twitter: Using Data Analytics to Understand Conversations and Networks. Future Internet, 12(12), 210. https://doi.org/10.3390/fi12120210

https://www.mdpi.com/1999-5903/12/12/210

Baghal, T. A., Wenz, A., Sloan, L., & Jessop, C. (2021). Linking Twitter and survey data: Asymmetry in quantity and its impact. EPJ Data Science, 10(1), 1–20. https://doi.org/10.1140/epjds/s13688-021-00286-7

ReconfigBehSci. (2020, November 18). @danielmabuse yes, we all make mistakes, but a responsible actor also factors the kinds of mistakes she is prone to making into decisions on what actions to take: I’m not that great with my hands, so I never contemplated being a neuro-surgeon. Not everyone should be a public voice on COVID [Tweet]. @SciBeh. https://twitter.com/SciBeh/status/1329002783094296577

Yang, K.-C., Pierri, F., Hui, P.-M., Axelrod, D., Torres-Lugo, C., Bryden, J., & Menczer, F. (2020). The COVID-19 Infodemic: Twitter versus Facebook. ArXiv:2012.09353 [Cs]. http://arxiv.org/abs/2012.09353

Elmas, T., Overdorf, R., Akgül, Ö. F., & Aberer, K. (2020). Misleading Repurposing on Twitter. ArXiv:2010.10600 [Cs]. http://arxiv.org/abs/2010.10600

New tool for the early detection of public health threats from Twitter data: Epitweetr. (2020, October 1). European Centre for Disease Prevention and Control. https://www.ecdc.europa.eu/en/news-events/new-tool-early-detection-public-health-threats-twitter-data-epitweetr

Another example of someone regularly deleting their tweets at regular intervals. I've seem a few examples of this in academia.

Hu, Y., & Wang, R.-Q. (2020). Understanding the removal of precise geotagging in tweets. Nature Human Behaviour, 1–3. https://doi.org/10.1038/s41562-020-00949-x

Embracing the slowdown. (n.d.). Retrieved August 30, 2020, from https://marketing.twitter.com/emea/en_gb/insights/embracing-the-slowdown

Santosh, R., Guntuku, S. C., Schwartz, H., Eichstaedt, J., & Ungar, L. (2020). Detecting Symptoms using Context-based Twitter Embeddings during COVID-19. https://openreview.net/forum?id=DFJhXXPZrM7

Gleeson, J. P., Onaga, T., Fennell, P., Cotter, J., Burke, R., & O’Sullivan, D. J. P. (2020). Branching process descriptions of information cascades on Twitter. ArXiv:2007.08916 [Physics]. http://arxiv.org/abs/2007.08916

Haman, M. (2020). The use of Twitter by state leaders and its impact on the public during the COVID-19 pandemic. https://doi.org/10.31235/osf.io/u4maf

Science Magazine on Twitter: “Democrats & Republicans have seemingly taken a divided stance on how to handle the #COVID19 pandemic, & their Twitter accounts might provide the best evidence to date. Watch the latest video from our #coronavirus series on research from @ScienceAdvances: https://t.co/BSCdWS011J https://t.co/sJyF357wje” / Twitter. (n.d.). Twitter. Retrieved June 27, 2020, from https://twitter.com/sciencemagazine/status/1276282194596675590

Rahman, M., Ali, G. G. M. N., Li, X. J., Paul, K. C., & Chong, P. H. J. (2020). Twitter and Census Data Analytics to Explore Socioeconomic Factors for Post-COVID-19 Reopening Sentiment [Preprint]. PsyArXiv. https://doi.org/10.31234/osf.io/fz4ry

Crisis research, fast and slow. (2020, March 26). The 100% CI. http://www.the100.ci/2020/03/26/crisis-research-fast-and-slow/

Okan, Y. (2020, May 22). From a tweet to Reddit and beyond: The road to a global behavioral science SWAT team. Psychonomic Society Featured Content. https://featuredcontent.psychonomic.org/from-a-tweet-to-reddit-and-beyond-the-road-to-a-global-behavioral-science-swat-team/

Cinelli, M., Morales, G. D. F., Galeazzi, A., Quattrociocchi, W., & Starnini, M. (2020). Echo Chambers on Social Media: A comparative analysis. ArXiv:2004.09603 [Physics]. http://arxiv.org/abs/2004.09603

hedonometer on Twitter: “Yesterday was the saddest day in the history of @Twitter https://t.co/91VP3Ywtnr” / Twitter. (n.d.). Twitter. Retrieved June 1, 2020, from https://twitter.com/hedonometer/status/1266774310565425154

Alshaabi, T., et al. (2020 March 27). How the world's collective attention is being paid to a pandemic: COVID-19 related 1-gram time series for 24 languages on Twitter. Cornell University. arXiv:2003.12614

The Ethics of Online Research. (2018, August 30). Leeds University Library Blog. https://leedsunilibrary.wordpress.com/2018/08/30/the-ethics-of-online-research/

I wonder how many profiles in the 3,389 tweets? Did the automate the review and capture of the details? Or did they review each profile by hand?

Neat use of TAGS Explorer. Did do so, to interesting effects. Regular livetweet events may be more interesting. And there’s something to be said about NodeXL and COSMOS.