EurekAlert: A research study analyzes the influence of algorithms on online publicity and advertising . “When we look for information on the internet, buy online or use social networks we often see ads relating to our likes or profile. To what extent are these ads chosen by the web’s algorithms? A group of researchers are trying to answer this question under the name of «MyBubble», a science project from the Massachusetts Institute of Technology (MIT), Universidad Carlos III de Madrid (UC3M) and IMDEA Networks Institute.”
social media
Inquirer: Traffic violators in China pay ‘fine’ with social media confessions
Inquirer: Traffic violators in China pay ‘fine’ with social media confessions. “What if you could pay a fine for a traffic offense with a post online? In southwestern China, traffic violators get off the hook over a minor offense if they admit to their blunder on social media—and earn at least 20 likes, reports Beijing News.”
CBN News: Strange Bedfellows? Why Facebook Is Teaming Up with Churches to Build Community
CBN News: Strange Bedfellows? Why Facebook Is Teaming Up with Churches to Build Community. “On a recent April Sunday morning, crowds streamed into the grand lobby of Mt. Zion Baptist Church as they faithfully do every weekend. What was unusual about this particular service was who was there to greet them. Smiling faces offered bright, warm ‘hellos,’ inviting them to visit laptop stations designed to teach people how to better engage with other members through the church’s social media. But the friendly greeters weren’t church staff or volunteers. They were a professional team sent by Facebook.”
Poynter: Who reads fact-checking and why? Here’s what one outlet found out
Poynter: Who reads fact-checking and why? Here’s what one outlet found out. “A British fact-checking organization recently heard from more than 2,000 people about how and why they read fact checks. On Tuesday, Full Fact published its first large-scale audience research survey, based on a fall 2017 survey of self-selected participants that contained 24 questions, supplemented with data from Google Analytics and polls. While not representative, the findings are part of a larger trend among fact-checkers to conduct in-house audience analyses.”
Help Net Security: Researchers develop algorithm to detect fake users on social networks
Help Net Security: Researchers develop algorithm to detect fake users on social networks. “Ben-Gurion University of the Negev and University of Washington researchers have developed a new generic method to detect fake accounts on most types of social networks, including Facebook and Twitter.”
Lifehacker: How to Share Facebook Posts With Non-Facebook Friends
Lifehacker: How to Share Facebook Posts With Non-Facebook Friends. “Pervasive as Facebook is, not everyone uses the social service. Maybe they hate social networking, or they’re frustrated with Facebook’s continual privacy ‘oopsies,’ or they’re not technologically savvy. In this week’s installment of Tech 911, a readers asks how they can share content outside of Facebook’s (somewhat) walled garden.”
Thinknum: Here are the top places people check-in and take selfies on Facebook
Thinknum: Here are the top places people check-in and take selfies on Facebook. “When Facebook ($NASDAQ:FB) opened up its ‘Were Here’ counters in 2012, marketers and investors alike foamed at their respectives mouths like hungry cats. That’s because for the first time, they had a social media metric that combined how people perceived a brand online with real-world location data. Facebook’s Were Here count measures how many check-ins, mobile device shares, and photo location tags have been created at a business. It’s a powerful measurement tool because it shows where Facebook users are actually going when they’re not just sitting at home clicking “Like” buttons. We’ve been tracking Were Here counts at Thinknum for years.”
