Showing posts with label tweets. Show all posts
Showing posts with label tweets. Show all posts
Thursday, April 2, 2015
Twitters year in review highlights top tweets and trends of 2013
Just as it does every year, Twitter has unveiled the top tweets of 2013, highlighting the years trends on the bite-sized social network.
Twitter began the "Year on Twitter" trend in 2010, and since then its format has gotten snazzier and snazzier.
This years categories are less vague than 2012s, with top 2013 tweets divided into news, entertainment, sports and "showcase," a publishing partner-picked selection of the best tweets of the year.
But the best category is undoubtedly the one that simply reads "#2013," as it highlights the major events of the last year month-by-month - in tweet form, of course.
Twitters 2013 year in review features hundreds of tweets covering everything from Jon Stewarts jabs at Microsoft to humble brags from Nascar super stars.
The sports section is divided by sport, and the news section by category. Politics and big science stories are all covered, as well as "human interest" tweets like a marriage proposal and a lost dog returned home.
The entertainment category is divided into music, TV, movies, and pop culture. No video games or tech? Even with the launch of the Xbox One and PS4?
At least theres plenty of Breaking Bad love in there.
Its fun to go through the #2013 category and check out the years events month by month. What was your favorite thing that happened this year? Chances are its in there, from #SFBatkid to the NHL Stanley Cup.
The Golden Tweets section features the most re-tweeted messages of the year, and its full of heavy hitters as well, including celebrity deaths like Cory Monteith and Paul Walker.
The tweets in this section garnered hundreds of thousands of re-tweets each.
"This years most-retweeted Tweets showed the world coming together to share in loss, love, and celebration," Twitter wrote in the review.
Theres plenty to explore in Twitter 2013 showcase, but dont lose too much time combing through the past - the years not over yet, and youve probably got work to do still.
Read more »
Twitter began the "Year on Twitter" trend in 2010, and since then its format has gotten snazzier and snazzier.
This years categories are less vague than 2012s, with top 2013 tweets divided into news, entertainment, sports and "showcase," a publishing partner-picked selection of the best tweets of the year.
But the best category is undoubtedly the one that simply reads "#2013," as it highlights the major events of the last year month-by-month - in tweet form, of course.
Tweet tweet
Twitters 2013 year in review features hundreds of tweets covering everything from Jon Stewarts jabs at Microsoft to humble brags from Nascar super stars.
The sports section is divided by sport, and the news section by category. Politics and big science stories are all covered, as well as "human interest" tweets like a marriage proposal and a lost dog returned home.
The entertainment category is divided into music, TV, movies, and pop culture. No video games or tech? Even with the launch of the Xbox One and PS4?
At least theres plenty of Breaking Bad love in there.
Golden tweets
Its fun to go through the #2013 category and check out the years events month by month. What was your favorite thing that happened this year? Chances are its in there, from #SFBatkid to the NHL Stanley Cup.
The Golden Tweets section features the most re-tweeted messages of the year, and its full of heavy hitters as well, including celebrity deaths like Cory Monteith and Paul Walker.
The tweets in this section garnered hundreds of thousands of re-tweets each.
"This years most-retweeted Tweets showed the world coming together to share in loss, love, and celebration," Twitter wrote in the review.
Theres plenty to explore in Twitter 2013 showcase, but dont lose too much time combing through the past - the years not over yet, and youve probably got work to do still.
How to expose a Twitter fraud Its all about the time of day and how often you receive Tweets
The timing of tweets is the major clue as to whether they are authentic or not, new research suggests.
Scientists determined the difference between human tweeters and automated Twitter accounts based solely on the timing of tweets.
The researchers, from Imperial College London, found that they could easily tell if humans were responsible for tweets, without even looking at their content, based on when the user’s tweet was posted.
Their technique also enabled them to distinguish between individuals and those accounts managed by groups of people.
Surprisingly, they found that there was not an obvious pattern for automated Twitter accounts, which were more random than humans in terms of the timing of tweets.
The technology behind the research could provide a new way to verify the authenticity of Twitter account users.
The study, published in the journal PloS One, is also providing fresh insights into how our brains operate when using social media tools.
Study author Doctor Aldo Faisal, said: We found that it does not matter whether you are a model in Sao Paulo or a student in Beijing; it seems that we all share something very similar in our tweeting pattern that dictates the timing of when we send out messages.
Why is this important to know? Well, it suggests that there is something fundamentally similar in the wiring of our brains that comes into play when we use twitter to communicate.
Since its creation in 2006, Twitter has accrued more than 200 million active users worldwide, producing 400 million tweets per day.
The researchers analysed 160,000 tweets from around the world using computer programmes that they developed to spot complex behavioural patterns in Twitter users.
By analysing the timing interval between tweets the team were able to determine that personal accounts holders tweeted more evenly throughout the week and, on each day, more tweets were recorded during typical waking hours of 7am to midnight.
Managed accounts, run by people in corporations, were more active during the five working days and during working hours between 8am and 8pm.
However, tweets from automated accounts were less easy to predict using their method because they were random in terms of when they were sent out.
Dr Faisal added: I am a Twitter user and this project was born out of my curiosity in wanting to know who I’m actually tweeting with.
Sure, there are methods for verifying account holders, but are they fail-safe methods? Are we really speaking to a Member of Parliament on Twitter or a PR representative or a machine? We have now developed a method that can help us determine who it is we are actually tweeting with.
Read more »
Scientists determined the difference between human tweeters and automated Twitter accounts based solely on the timing of tweets.
The researchers, from Imperial College London, found that they could easily tell if humans were responsible for tweets, without even looking at their content, based on when the user’s tweet was posted.
Their technique also enabled them to distinguish between individuals and those accounts managed by groups of people.
Surprisingly, they found that there was not an obvious pattern for automated Twitter accounts, which were more random than humans in terms of the timing of tweets.
The technology behind the research could provide a new way to verify the authenticity of Twitter account users.
The study, published in the journal PloS One, is also providing fresh insights into how our brains operate when using social media tools.
Study author Doctor Aldo Faisal, said: We found that it does not matter whether you are a model in Sao Paulo or a student in Beijing; it seems that we all share something very similar in our tweeting pattern that dictates the timing of when we send out messages.
Why is this important to know? Well, it suggests that there is something fundamentally similar in the wiring of our brains that comes into play when we use twitter to communicate.
Since its creation in 2006, Twitter has accrued more than 200 million active users worldwide, producing 400 million tweets per day.
The researchers analysed 160,000 tweets from around the world using computer programmes that they developed to spot complex behavioural patterns in Twitter users.
By analysing the timing interval between tweets the team were able to determine that personal accounts holders tweeted more evenly throughout the week and, on each day, more tweets were recorded during typical waking hours of 7am to midnight.
Managed accounts, run by people in corporations, were more active during the five working days and during working hours between 8am and 8pm.
However, tweets from automated accounts were less easy to predict using their method because they were random in terms of when they were sent out.
Dr Faisal added: I am a Twitter user and this project was born out of my curiosity in wanting to know who I’m actually tweeting with.
Sure, there are methods for verifying account holders, but are they fail-safe methods? Are we really speaking to a Member of Parliament on Twitter or a PR representative or a machine? We have now developed a method that can help us determine who it is we are actually tweeting with.
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