[HN Gopher] Tweets to Citations: The Impact of Social Media Infl...
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Tweets to Citations: The Impact of Social Media Influencers on AI
Research
Author : sebg
Score : 38 points
Date : 2024-01-26 16:57 UTC (6 hours ago)
(HTM) web link (arxiv.org)
(TXT) w3m dump (arxiv.org)
| lordswork wrote:
| As much as I dislike all the baggage that comes with Elon owning
| Twitter, it is the only place I know with a critical mass of AI
| talent sharing papers and thoughts. Even in read-only mode, it's
| incredibly useful as a way to stay up to date with interesting AI
| papers and discussions.
|
| Does a good alternative to this exist?
| ronsor wrote:
| I wish someone would scrape and mirror Twitter-X (fully, not
| just proxy like Nitter).
|
| I know Musk would be upset though.
| 3abiton wrote:
| I struggle to keep up with the current trends in AI, do you
| have any twitter community recommendations to follow?
| carlossouza wrote:
| The growing pace of new papers, especially in CS, is a hard
| problem to solve.
|
| We created this tool to help:
|
| https://trendingpapers.com/
|
| The website was launched in October. It is already used by
| researchers in most of the leading universities and tech
| companies and is growing fast. Let me know what you think..
| cheers!
| obblekk wrote:
| This is super cool. I've often wondered why google scholar
| didn't use pagerank over the citations... and now you've done
| it! Props!
| dr_kiszonka wrote:
| Very cool! Would it be possible to order category filters
| alphabetically?
| brucethemoose2 wrote:
| In certain topics, Discords and Github repos.
|
| ...Yes, basically siloed off and unsearchable.
| DaiPlusPlus wrote:
| Discord is where our conversations go to die, yes; but (non-
| private) Github repos are clonable and very searchable - so
| I'm not sure why you wrote that.
| sodality2 wrote:
| Searchable, yes - but you must be signed in.
|
| > Sign in to search code on GitHub - Before you can access
| our code search functionality please sign in or create a
| free account.
| downWidOutaFite wrote:
| It's why big tech killed rss, they want to own our peer to peer
| channels.
| bugglebeetle wrote:
| Yeah, various AI Discords, like the Nous Research server.
| daxfohl wrote:
| Back in the day, Google Reader was great for this. It's still
| hard to fathom that nothing ever replaced it.
| devindotcom wrote:
| Don't underestimate the power of informal networks. Buzz is hard
| to quantify but it clearly has a huge effect on "real" metrics
| like citations.
| paulpauper wrote:
| "Computer Science > Digital Libraries"
|
| how does this even merit inclusion on arxiv? Does it even count
| as science? We're talking meta-computer-science. Meanwhile, It's
| hard enough for me to get the endorsement to publish my actual
| math paper on there, which has afik new results. The computer
| science section of arxiv feels like a giant citation ring of
| mediocre, math-light papers.
| Ar-Curunir wrote:
| Computer science is not mathematics. There's plenty of
| empirical work to be done in CS, including HCI.
| paulpauper wrote:
| I may as well publish under a CS category if that is what it
| takes.
| dopylitty wrote:
| It's basically academia washing for the new tech bubble.
|
| They saw how closely and uncritically people followed papers
| about COVID and realized if they released "papers" about
| whatever llm product they were working on it would lend some
| kind of credibility that they never got with cryptocurrency or
| Web 3.0 or the metaverse.
| ansk wrote:
| So glad the AK account exists. As a researcher, I've always
| wanted some guy with an econ degree and a year of ML eng to
| recommend me papers after glancing at them for maybe 30 seconds.
|
| I am genuinely baffled that researchers in the field think there
| is any value in the service AK provides. I'd wager I could create
| an equally effective bot with the following process:
| 1) Create a historical dataset of publications and their citation
| counts 2) For each publication extract the following
| features: - H-index of first author
| - Maximum H-index of all authors - Number of
| author affiliations in {top-10 school, deepmind, meta, openai,
| nvidia} - Number of times the phrase "state-of-
| the-art" appears - Which latex template is used
| (NeurIPS, ICML, etc.) - Number of images in the
| paper - Whether there is an image on the first
| page - Whether "all you need" appears in the
| title - Whether the publication has a linked
| project page 3) Train a shallow decision tree with
| citation counts as the regression target
| Imnimo wrote:
| "Do I recognize the latex template" is my number one filter
| when clicking through the new arxiv papers each day, so I
| definitely buy that that would work.
| icyfox wrote:
| A friend of mine created a bot to do basically this, except it
| also looks at the current page rank associated with researchers
| recommending that paper. I've seen a lot of good looking papers
| (decent school/group/conference submission/etc.) that don't end
| up contributing to the field. Top researchers and Professors
| tend to have a better intuition of importance by reading the
| abstract and a quick skim.
| abidlabs wrote:
| There are have been many, many services that have tried to
| automate paper selection based on these heuristics. None of
| them have had the staying power of AK's account. As someone
| with a PhD in machine learning from Stanford, I can attest AK's
| taste is quite good.
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(page generated 2024-01-26 23:00 UTC)