... designed to collect posts and informations I found and want to keep available but not relevant to the other topics I am curating on Scoop.it (on behalf of ASSIM):
The Social Media for Learning in Higher Education conference has announced its programme for next month. Over 20 parallel sessions that explore the intersection between HE and the changing world of social media.
I'm looking forward to delivering the opening keynote '#AcademicTwitter Is Dead â What Died, What Survived, Whatâs Next.
You can see more about this established conference and book your place via the link below https://lnkd.in/eEu6z_Hu
Here's the video recording and slide deck for my recent online workshop about developing #OER with #AI and #Metaliteracy at North-West University / Noordwes-Universiteit. Feel free to follow along and respond to the workshop activities based on your own experience! Thanks to Dorothy Laubscher for the invitation! Appreciate all of the creative contributions from the participants! https://lnkd.in/gUwugmYw
đšNew paper, now out in The Royal Society's Open Science.
How do educational videos affect people's behaviour on social media? Probably not much, but there's a massive risk of finding signal where there's only noise. Depending on how you run your analyses, you can get completely different results.
We ran two large, pre-registered field experiments on Twitter/X, to see if a previously validated "inoculation" video (about emotional manipulation), when deployed on social media, would prompt people to share less negative-emotional content.
To do so, we collected two lists of about 100,000 Twitter/X users and used the ad space to target them with either the "inoculation" video or a control video, respectively. We then scraped these users' timelines during a one-month window around the intervention's deployment, and ran emotion classifiers on their tweets and retweets. We hypothesised that the sharing of negative-emotional content and low-quality news would go down for treatment group users (compared to the control group), but not positive-emotional content or high-quality news.
Unfortunately, we didn't find any support for our hypotheses. As you can see in the first figure, there are no meaningful differences between the treatment and control groups.
Even worse is that we can't really claim a "true" null: our experiment was hampered by several design problems, including Twitter/X's "fuzzy matching" policy. This is a feature of the Twitter/X ad space (at the time anyway), where the company doesn't target the users you want to target, but rather 30% of them, with the remaining 70% being similar users Twitter/X has "matched" to your user sample according to some characteristics. This means that only 30% of our users were shown our interventions, but we don't know which 30%. In the end, we ran our analyses with about 92% noise (possibly more), making it impossible to find meaningful effects. We therefore call for social media companies to make it easier to do this type of research.
We also ran a series of additional (non-preregistered) longitudinal analyses, using different statistical frameworks. Our findings are cautionary: depending on your statistical choices and the analytical time window (looking at effects over 1h, 2hrs, 6hrs etc.), you get entirely different (and sometimes significant!) effects. In other words, without a strict a-priori analysis protocol, finding what you want to find becomes far too easy.
We therefore call on researchers to 1) create robust pre-registrations and follow them closely, being up-front about any deviations, and 2) conduct extensive robustness checks for intervention effects, before declaring positive findings.
This study was funded by Jigsaw, and written with the brilliant Jana Lasser, Malia Marks, Tianzhu Qin, David Garcia, Ramit Debnath, Beth Goldberg, Sander van der Linden, and Stephan Lewandowsky.
Information about the roles of each author of a paper can help to build trust, integrity and responsible research assessment. Coordinated efforts are needed to consolidate progress.
Ă travers des images immersives et des souvenirs qui transpirent dans la pierre et la forĂȘt, ce voyage vous invite Ă ressentir plus quâĂ comprendre.
There have been plenty of big studies in hundreds of thousands of children across the world that have thoroughly investigated the claim and found no link between vaccines and autism.
ALL evidence has been considered by public health authorities in Europe and beyond.
Only exception is for fraudolent studies, which I guess we ALL agree should be ignored, right?
Instead, what we should be mainly concerned today is the resurgence of measles.
Letâs keep our children vaccinated and protected!
If you are interested, more details from European Medicines Agency on this and other vaccines topics just published here:
As a full professor at the School of Library and Information Sciences, Vincent LariviĂšre is one of the most cited researchers in his field, with a remarkable number of publications and presentations delivered at international conferences in Canada and abroad.
I'm looking forward to our upcoming IPILM conference featuring a keynote presentation by Nicola Marae Allain from Empire State University! This is the culminating event for our innovative virtual exchange featuring student teams from around the world engaging with issues related to #AI and #Metaliteracy! Mark your calendar and join us for this exciting event!
đ One week after Google launched Google Scholar Labs, everyone (rightfully) focused on the shiny new AI features.
But something else changed quietly â While reviewing the classic Google Scholar interface, Search Smart noticed that almost everything stayed the same⊠except one key feature: âŹïž The maximum query length increased 8-fold â from 256 characters to 2048.
This means we can now run much more complex and expressive searches that were previously impossible because of strict query caps. A major boost for power users and advanced search strategies.
â ïž IMPORTANT: Longer queries â reliable Boolean logic: Despite the new 2048-character limit, Google Scholarâs Boolean operators remain highly unreliable (OR, NOT break immediately; AND fails under complex conditions). Donât expect deterministic Boolean logic working similar to Scopus, PubMed, or Web of Science.
đHere is the full information on what you can and cannot do with Google Scholar (via Search Smart: https://lnkd.in/dcdcmKVT).
Anne-Wil Harzing đȘ â this might be especially relevant for Publish or Perish, since PoP is still the most effective tool for querying and exporting Google Scholar data.
đ§Given the timing, I canât help but wonder if the longer query limit is connected to how Labs handles natural-language questions â maybe it simply needs longer queries to work. | 11 comments on LinkedIn
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