Number of Posts: 11
Posts 1 - 10
Germany vs. Twitter
Newspaper | The New York Times
Date | 21.6.2017
Language | English
Country | U.S.
Topic Tags | law, threat, Twitter
Summary | The German government demands that Twitter remove illegal content (some offensive language is illegal in Germany) from the platform within 24 hours. If they fail to do so, Germany threatens to fine them up to 50 million euros. Now social media platforms have begun deleting German accounts which are even just coming close to illegal content so as not to risk a fine.
Image Description | Hand holding a lens over the Twitter logo.
Image Tags | hand(s), logo, Twitter
Is China Outsmarting America in A.I.?
Newspaper | The New York Times
Date | 27.5.2017
Language | English
Country | U.S.
Topic Tags | artificial intelligence, computer programming, politics
Summary | China is surpassing the US in artificial intelligence research. They succeeded in getting to human-level language recognition a year before Microsoft did. China is also increasing funding for artificial intelligence research massively while President Trump is cutting research funding. The Chinese interent giant Baidu has succeeded in understanding very subtle differences between Chinese dialects.
Image Description | Images of a German AI researcher in China with his machines and students, a Tweet, and an auditorium watching a human playing a board game against Google AI.
Image Tags | female(s), Google, male(s), Twitter
In Discover, Snap Sees a Bright Spot as It Tries to Fend Off Facebook
Newspaper | The New York Times
Date | 7.5.2017
Language | English
Country | U.S.
Topic Tags | censorship, fake news, Snapchat, youth
Summary | Snapchat Discover is a realm in the messaging app that offers advertisers a platform to present their content (which also self-destructs in 24 hours). It is very expensive for advertisers to produce new content each day but some say that they have been able to recruit followers in the hard-to-reach demographic of youths. Snapchat has also made a move to curate the content on their Dsicover platform in order to censor nudity as well as unreliable news sources in order to combat fake news.
Image Description | An image of a video shoot for Snapchat and a Tweet of a Snapchat video.
Image Tags | female(s), Snapchat, Twitter
Names of the Brussels Victims Emerge Online, One by One
Newspaper | The New York Times
Date | 24.3.2016
Language | English
Country | U.S.
Topic Tags | Facebook, social media, texting, threat
Summary | In the aftermath of the Brussels airport terrorist attacks, cell phone service was unreliable so people worried about their loved one's went on social media in search for missing persons. Entire bulletin boards were created on Facebook where people posted pictures of the missing family members and friends. Shortly after, deaths were being published on Facebook and other social media.
Image Description | A Getty image showing the airport evacuation in Brussels and Twitter posts with pictures of missing persons.
Image Tags | female(s), male(s), Twitter
Social Insecurity? internet Turns Boomers Into Twits
Newspaper | The New York Times
Date | 5.5.2017
Language | English
Country | U.S.
Topic Tags | emojis, Facebook, misunderstanding, research/study, youth
Summary | Elders are coming to Facebook and it's not pretty. Most young people find their older relatives' activities on Facebook cringey because they appear to regress back into their younger selves which is somehow undignified for the elderly. They also sometimes use wrong emojis because they tend to be too small for them to properly see. Young people are moving on to other platforms.
Image Description | Images of Cher, Donald Trump, and Larry King as well as some of their Tweets.
Image Tags | female(s), male(s), Twitter
What Happened to Who?
Newspaper | The New York Times
Date | 8.4.2017
Language | English
Country | U.S.
Topic Tags | abbreviations, grammar, language threat, politics, Twitter
Summary | More and more politicians have begun replacing the relative pronoun "who" with "that" in sentences like ''people that come with a legal visa and overstay''. Although some dictionaries say this is an acceptable for, the New York Times' style sheet does not condone using "that" instead of "who". It denies the mentioned persons their humanity. This trend is unsurprising considering that our communication is increasingly happening on platforms like Twitter that only allow 140 characters so that we invent loads of abbreviations like "LOL" and "TTYL".
Image Description | Artwork copying Edvard Munch's "The Scream" and a few high-profile Tweets with spelling mistakes.
Image Tags | female(s), male(s), Twitter
Apple Opens the iMessage Door, and the Ephemera Rushes In
Newspaper | The New York Times
Date | 22.9.2016
Language | English
Country | U.S.
Topic Tags | emojis, GIFs, word/writing
Summary | An Apple user of iMessage can now use different "tchotchkees" (e.g. GIFs, stickers, emojis) which dominate text messages whereas words are just "afterthought". Users can also throw confetti and balloons. Apple is trying to mimic what is out there on the internet.
Image Description | Screenshots of iMessage chats with words and stickers/emojis/GIFs/confetti, and screenshot of a tweet
Image Tags | emojis, gifs, text, Twitter
The Latest Celebrity Diet? Cyberbullying
Newspaper | The New York Times
Date | 12.10.2016
Language | English
Country | U.S.
Topic Tags | cyberbullying, privacy, social media
Summary | Celebrities are using social media to discuss personal issues with their friends/lovers/family. They behave like online harassers since they use social media to publicly humiliate other people they know. Some of celebrities' cyberbullying characteristics are: secret recordings, sexual humilitation, revenge porn, and mob deployment.
Image Description | Photograph of Justin Bieber and Selena Gomez, and screenshot of one of Kim Kardashian's tweets.
Image Tags | female(s), male(s), Twitter
On Twitter, a Battle Among Political Bots
Newspaper | The New York Times
Date | 14.12.2016
Language | English
Country | U.S.
Topic Tags | artificial intelligence, fake news, politics, Twitter
Summary | People on social media are often discussing/debating with bots when it comes to politics. A lot of bots are created to misinform the public (they are called protests bots or propaganda bots). During the 2016 US Presidential election, many tweets with the hashtag MAGA or CrookedHillary came from automated bots.
Image Description | Photograph of people at a rally for Trump, photograph of a street with many police cars, and screenshots of several tweets
Image Tags | female(s), male(s), Twitter
‘Good Girl’ Prom Dress Fliers Draw Criticism for Florida School
Newspaper | The New York Times
Date | 30.3.2017
Language | English
Country | U.S.
Topic Tags | gender, school, Twitter
Summary | One school's guidelines on what appropriate prom gowns entail went viral on Twitter because of the double standard that girls are subjected to such prescriptivism and also because the text accompanying the images was demeaning towards women. An image of a gown seen as appropriate is captioned with "good girl" resounding how one would talk to a dog rather than young women.
Image Description | Image of the bulleting board with prom dresses and Tweets about the school message.
Image Tags | female(s), hand(s), text, Twitter
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