TWITTER WEED WHACKERS: Solving the bot crisis with SM Cadman
Posted by halfeatenmind
If you’re a Twitter user like me, you’ll know that the social media network with the cute blue bird is full of great advantages. A cool interface, brevity of messages, lots of photos and now videos to comb through, and the level of interaction with other users is second to none. You can keep updated on things that matter to you, whether your favourite sports teams, celebrities, artists, politicians etc. as well as your family and friends closer to home. And of course block or mute anyone who does your head in.
But nothing is perfect in life. Not even Twitter. Aside from the occasional and mildly annoying drunken tweet or unsolicited direct message (DM) ….not withstanding the recent controversies surrounding racist and sexist trolls abusing people on Twitter…there is also the scourge of bots. Fake accounts with dodgy names and quotes clearly slurped off a website somewhere, gift-wrapped with a stolen display picture (usually some random meme or woman), or that God-forsaken egg that usually is served up as default, sadly not with some sausages or bacon as well.
These bad eggs are the bane of the Twitterati. Although the admin behind the site are very good at obliterating most of the fake followers, new ones take their place with the speed and intensity of mushrooms on the forest floor after a long rainy spell. Talk about putting too many eggs in one basket.
According to a filing made by Twitter with the U.S. Securities and Exchange Commission in 2014, it is believed that bots and spam bots account for 14% of Twitter’s active user base. That is around 23 million accounts out of the 271 active users on there. Many of these bots are programmed to retweet garbage or clickbait articles. Not all bots are bad, indeed some are fun (such as the Wiener Schnitzel bot that retweets you every time you mention that phrase) but there are concerns that some may be a gateway for hackers or data miners. Other bots are created to boost up follower numbers in that never ending popularity contest of ‘Who has the most followers?’. There are some companies that will for a small fee get fake accounts to follow your every move and tweet, and inflate not only your follower count but also presumably your ego as well. They do a relatively roaring trade despite Twitter rules of usage prohibiting tweeters from enlisting the services of such ‘follower farms’.
No-one, and I mean no-one is safe from the attention of the bots. Not even celebrities or politicians. United States presidential hopeful Hilary Clinton is said to have once had 2 million fake or inactive followers and that only 44% of her followers are real, living, breathing people. She has also been accused of plumping up her 3 million follower figures with fake accounts, according to British newspaper The Daily Mail. Over here in the UK, former Member of Parliament Louise Mensch found herself in a bit of bother after a Twitter statistics and auditing website determined that 97% of her followers are counterfeits. Several other ministers and low-level politicians in her party, the Conservatives, also found their accounts’ popularity called into question amid flying accusations of wholesale fake follower shopping to boost party morale.
Personally I’ve seen more than my fair share of bots and dodgy Tweeters. On both my individual and blog accounts, I often receive up to five add requests from suspicious looking accounts. They are either accounts with Russian names and bios written in the Cyrillic alphabet or English language accounts with really strange names combining different ethnic origins. For example, recently I’ve been befriended by a Yuriko Dille, a Manika Boag, a Eustachius Knowler… other with half Arab or Indian or Japanese names affixed to Anglo-Saxon, Scottish or German surnames. They must shred up phone directories and randomly piece the names together like some sort of hellish Yellow Pages puzzle.
You can usually pick them off because their feeds are full of spammy retweets and their bio is some sort of quote. Other bots have nonsensical handles like @fnerit_elephantfartunicorn which is one of the main things I look out for when evading bots and fake accounts.
Last weekend I was having a Twitter conversation with a fellow blogger and keen writer, SD Cadman (a.k.a Sarika and Luna Elektra). Since we met on WordPress, we often have little chats of 140 characters or less, but this time there was a serious topic on hand. The conversation was inspired by an article I posted on @halfeatenmind about obtaining quality followers rather than just breaking numbers. We then got talking about fake followers, and how Sarika mentioned that they may well be bots sniffing out data for possibly nefarious purposes. We agreed that the worst bots were, in Sarika’s words, those that “act bloody human” or the “nonsense Factoid accounts”. We joked that we needed a weed whacker (a nice sharp blade) to remove these bots from Twitter like those pesky dandelions that never seem to give up sprouting over your smart well-manicured lawn.
Here’s a GIF she sent me to illustrate the frustration with these meddling dregs of AI….
In a nutshell, what Sarika proposed is that Twitter should have some kind of ‘Weed Whacker Award’ for the person who culls the most bots. That can mean ignoring them when they coming knocking at your account’s door, reporting them to Twitter, but most importantly of all, not adding them, as that gives them legitimacy and access to your followers list. Twitter does often undertake regular purges of fake followers, exterminating them like the filthy rats they are, but new ones keep cropping up. The winner of the bot wipeout can receive a certificate in the post or possibly a badge to go on their header or sidebar et cetera on Twitter. A sort of virtual Neighbourhood Watch against the fraudulent and fake. This would be a bit of fun, but also encourage people to look out for each other and protect against malicious hackers and other cyber-criminals and general online trouble makers.
Inspired by Sarika (SM Cadman), I’d thought I’d come up with a couple of designs for a ‘Weed Whacker Award’ badge if Twitter did such badges. If Dick Costolo, the Twitter CEO, is reading this, you can hire me and Sarika as your ‘creative consultancy team’ or whatever they call them in Silicon Valley. Free lunches and Segways would be a bonus.
Part of the sourcing and writing of this article was done using my work computer at Informa in Euston. Many thanks to them – informa.com
“Twitter acknowledges 23 million active users are actually bots” – Judy Mottl, Tech Times/TECHTIMES.com (12 August 2014) http://www.techtimes.com/articles/12840/20140812/twitter-acknowledges-14-percent-users-bots-5-percent-spam-bots.htm
“More than 2 MILLION of Hillary Clinton’s Twitter followers are fake or never tweet – and she’s already under fire for ‘buying’ fake Facebook fans” – David Martosko, Mail Online – News/Associated Newspapers Ltd (14 April 2015) http://www.dailymail.co.uk/news/article-3038621/More-2-MILLION-Hillary-Clinton-s-Twitter-followers-fake-never-tweet.html
“Does Louise Mensch have 80,000 fake followers on Twitter?” – Alex Hern, New Statesman (24 July 2012) http://www.newstatesman.com/blogs/alex-hern/2012/07/does-louise-mensch-have-80000-fake-followers-twitter
Sarika (now L. of teh Internets), Twitter/Twitter Inc. https://twitter.com/SMCadman
“HOW YOU LOOK ANIMATED GIF” – Tumblr, Giphy http://giphy.com/gifs/machien-gun-how-you-feel-weed-whacker-zqkRtj9uERDr2?tc=1
“Blank white badge” – PSDgraphics/PSDgraphics.com (16 May 2011) http://www.psdgraphics.com/backgrounds/blank-white-badge/
“Common Malware Types: Cybersecurity 101” – Nate Lord, Veracode/VERACODE (12 October 2012) https://www.veracode.com/blog/2012/10/common-malware-types-cybersecurity-101
“Accueil” – Université d’Orléans http://www.univ-orleans.fr/
“BLANK – Create On-Site – Write-On – Solid Backgrounds, Borders, Parking” – ComplianceSigns.com/ComplianceSigns, Inc. http://www.compliancesigns.com/BLANK-Solid-Border-Parking.shtml
“A Cute Collection Of Despicable Me 2 Minions | Wallpapers, Images & Fan Art” – ZQ, DesignBolts.com/Design Bolts (18 July 2013) http://www.designbolts.com/2013/07/18/a-cute-collection-of-despicable-me-2-minions-wallpapers-images-fan-art/
“Millennium Bug V20.12” – Paul Morris, SEARCHMUSE (28 May 2012) http://www.searchmuse.com/blog/2012/05/28/millennium-bug-v20-12.html
CC Search, Creative Commons http://search.creativecommons.org/
“Dandelion wish (88/365)” – John Liu, Flickr (29 March 2011) https://www.flickr.com/photos/8047705@N02/5572197407/
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Posted on April 25, 2015, in Uncategorized and tagged blogging, bots, data mining, fake accounts, fake followers, feature, fraud, fun, Luna Elektra, online, Sarika, SM Cadman, social media, technology, Twitter, Vijay Shah, Weed Whacker Award. Bookmark the permalink. 11 Comments.