Tootfinder

qa_user: User interactions on Q&A websites (2016)
Networks of interactions among users from four online Q&A sites: Stack Overflow, Math Overflow, Super User, and Ask Ubuntu. A directed edge (i,j) indicates a user i responded to user j's post. Edges are timestamped. For each Q&A site, four differently defined networks are provided, based on the definition of an edge: (i) a user answered a question, (ii) a user commented on a question, (iii) a user commented on an answer…

Solar activity the past few hours has been really angry 💥💥💥

Imagine being so bad at your job of creating log-in systems that you have to outsource rate limiting to a CAPTCHA that punishes your actual legitimate users—especially one run by a third party.
Air Canada does this with Google’s obnoxious “train our driving vision ML to see motorcycles” recaptcha scam. It doesn’t accept my answers probably 90% of the time, so I have to try over and over and over. I hate it so much that I’d change airlines if I reasonably could.

Cory Doctorow (@pluralistic@mamot.fr)
Attached: 1 image Oh, fuck you, British Airways.

qa_user: User interactions on Q&A websites (2016)
Networks of interactions among users from four online Q&A sites: Stack Overflow, Math Overflow, Super User, and Ask Ubuntu. A directed edge (i,j) indicates a user i responded to user j's post. Edges are timestamped. For each Q&A site, four differently defined networks are provided, based on the definition of an edge: (i) a user answered a question, (ii) a user commented on a question, (iii) a user commented on an answer…

Towards Automated Causal Discovery: a case study on 5G telecommunication data
Konstantina Biza, Antonios Ntroumpogiannis, Sofia Triantafillou, Ioannis Tsamardinos
https://arxiv.org/abs/2402.14481

Towards Automated Causal Discovery: a case study on 5G telecommunication data
We introduce the concept of Automated Causal Discovery (AutoCD), defined as any system that aims to fully automate the application of causal discovery and causal reasoning methods. AutoCD's goal is to deliver all causal information that an expert human analyst would and answer a user's causal queries. We describe the architecture of such a platform, and illustrate its performance on synthetic data sets. As a case study, we apply it on temporal telecommunication data. The system is general and c…

Das macht Mut.

"Young women tend to vote for parties of the liberal left. Angry young men, sometimes dismissed as toxically masculine by those parties, are being shrewdly wooed by politicians from the right and the far right.
(..)
In Europe, where many countries offer a kaleidoscope of political choices, young male votes have helped fuel the rise of reactionary outfits such as the AfD in Germany, Confederation in Poland and Chega, which surged at Portugal’s election on March 10th."

Preface: in Polish, the word "ksiądz", meaning a priest, is also customarily used as a way of addressing men of cloth — and they sometimes actually expect being addressed like that. It woulde be a bit like saying "priest, sir" in English.
How to be anticlerical, without actually being formally disrespectful (which, in my opinion, is actually annoying people more than being openly disrespectful)?
Address the clergy as "mr"/"sir", when they expect the dedicated formal address. Answer religious greetings and farewells with strong plain "good morning" and "good bye". You can add a meaningful look and meaningful silence too.

inploid: Inploid: an online social Q&A platform
Inploid is a social question & answer website in Turkish. Users can follow others and see their questions and answers on the main page. Each user is associated with a reputability score which is influenced by feedback of others about questions and answers of the user. Each user can also specify interest in topics. The data is crawled in June 2017 and consist of 39,749 nodes and 57,276 directed links between them. In addition, for …

inploid: Inploid: an online social Q&A platform
Inploid is a social question & answer website in Turkish. Users can follow others and see their questions and answers on the main page. Each user is associated with a reputability score which is influenced by feedback of others about questions and answers of the user. Each user can also specify interest in topics. The data is crawled in June 2017 and consist of 39,749 nodes and 57,276 directed links between them. In addition, for …