Social Media

Twitter vows to purge spammers with “predictive” spam technology

Twitter vows to purge spammers with “predictive” spam technology
Reporting @JUSTINBIEBER for spam is unlikely to work...I've tried

Reporting @JUSTINBIEBER for spam however is unlikely to work...I've tried

Twitter CEO Dick Costolo has vowed to counteract spam accounts with “realtime” and “predictive” spam technology that the company is currently working on. In a tweeted response to a spam complaint by Twitter user Peter Kafka, Costolo stated,

As a regular Twitter user it’s obvious that the service is rife with spam and always has been. Programmed spam accounts often listen for specific keywords or hashtags within tweets and attempt to target users with relevant spam links, not to mention the widespread Twitter DM scams that we wrote about last month.

Costolo describes the current spam control system as “reactive” in a sense that users can report spam accounts or tweets after a spamming incident has occurred. When a certain quota of complaints relating to a specific account is reached, Twitter may purge that account. This method only works to a certain extent and requires other Twitter users to report immediately for the control to be effective.

Instead, Twitter want to employ an automated, or semi-automated, spam system that discovers spam accounts and tweets in realtime. Costolo’s use of the word “predictive” is interesting. It implies that tweets may be spam filtered before posting and vetted against a dictionary of spam phrases that learns and adapts to new spam over time.

Whatever technology Twitter eventually introduce to combat spam will certainly be welcome as its user base and subsequent spam levels continue to grow rapidly.

Click to add a comment

Leave a Reply

Your email address will not be published. Required fields are marked *

Social Media

Darren McCarra is co-editor of The Sociable. He has a keen interest in photography, all things mobile, and writing about technology and social media. You can follow him on Twitter, Facebook and Google+.

More in Social Media

facebook algorithm

How Facebook’s 2018 algorithm goals will affect businesses

John MasonMarch 5, 2018

Instagram announces a new scheduling post feature for businesses

John MasonFebruary 9, 2018

Facebook acquires govt ID authentication startup

Markus SkagbrantJanuary 29, 2018
blockchain social media

Is Blockchain Incentivizing Social Media while Decentralizing the Attention Economy?

Andy HeikkilaJanuary 18, 2018

‘Selfitis’: Obsessive selfie taking as a real disorder and the fake news stories that inspired its research

Sam Brake GuiaJanuary 9, 2018
tech, 2017, review, google, amazon, facebook, elon musk

Noble causes to no-man’s land: Tech’s 2017 month-by-month

Ben AllenDecember 29, 2017
music tech

Music tech expanding: to weather and to the best seats in the house

Lisa ShipleyDecember 18, 2017
Twenty years ago we were more than willing to sit patiently through the first three minutes of our cousin’s self-made high school video and see the fluorescent words rolling unsteadily over the black screen.

If your video doesn’t capture audiences in 10 seconds, you’re losing engagement

Kwinten WoutersDecember 15, 2017

Facebook ups efforts to spot suicidal tendencies in its users by utilizing AI

Mathew Di SalvoNovember 30, 2017