By Stephen Fontenot | While social media algorithms have become excellent at matching a user’s viewing habits with targeted, personalized content, psychologists at The University of Texas at Dallas have determined that these algorithms may have a negative influence on a user’s mental health. Dr. Alva Tang, assistant professor of psychology in the School of Behavioral […]
You’re not wrong, but this is a press release from a university about research. They’re not going to dig into methodology when they want to toot their own horn.
Reading the abstract and introduction (full article is pay walled), it was a pilot study using EEG. Normally similar studies have participants self report using a survey. Sample size was 60 people which seems reasonable given they had to hook up each person to an EEG. Demographics are a bit skewed based on gender and age, but as a pilot, that probably isn’t that big of a deal.
I’m not seeing anything egregious, and it was published in a peer reviewed journal. I would treat this as a single data point and wait for other researchers to replicated it and prod at the methodology more.
You’re not wrong, but this is a press release from a university about research. They’re not going to dig into methodology when they want to toot their own horn.
Reading the abstract and introduction (full article is pay walled), it was a pilot study using EEG. Normally similar studies have participants self report using a survey. Sample size was 60 people which seems reasonable given they had to hook up each person to an EEG. Demographics are a bit skewed based on gender and age, but as a pilot, that probably isn’t that big of a deal.
I’m not seeing anything egregious, and it was published in a peer reviewed journal. I would treat this as a single data point and wait for other researchers to replicated it and prod at the methodology more.