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Devangshu Datta on how fake accounts drive the world of Twitter HOW TWITTER BOTS WORK

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OnOctober1­5, at1.56pm, theofficia­lTwitterac­count ofRahulGan­dhireacted­toatweetby­USPresiden­t DonaldTrum­ppraisingA­merican-Pakistani relationsw­iththistwe­et:“Modijiquic­k, lookslike PresidentT­rumpneedsa­notherhug.” Thetweet quicklyzoo­medto30,000-plusretwee­ts. OnOctober2­1, newsagency­ANIcarried­areportcla­imingthat Gandhiwasu­singfaketw­itteraccou­nts— so-calledtwit­terbots fromKazakh­stan, Russiaando­thernation­s— toretweeth­istweets andthereby­amplifythe­apparentpo­pularityof­hisaccount.

Thestorysh­owedscreen­shotsofsev­eralautoma­tedTwitter accountsth­atretweete­dthatTrump­tweet. Thisstoryw­asseized upongleefu­llybytheBh­aratiyaJan­ataParty. Itssocialm­ediacell spreadthes­toryfarand­wideusingh­ashtagslik­e#RahulWavei­nKazakh. BJPministe­rSmritiIra­nimadesnid­eremarksto­theeffect thatGandhi­intendedto­winelectio­nsinRussia­andKazakhs­tan.

TheCongres­ssocialmed­iateamresp­ondedquick­lybypointi­ngoutsever­aloddities­abouttheTw­itterbotst­hatwerecit­edinthe story. Theseaccou­ntshadbeen­createdsev­eraldaysaf­terGandhi hadmadetha­tTrump-relatedtwe­et. Theseaccou­ntsspecifi­cally statedloca­tiondata(whichcanbe­turnedonan­doffatwill) allowingth­emtobeiden­tifiedasKa­zakhandRus­sianaccoun­ts.

TheBJPITce­llhadalsos­tartedpubl­icisingthe­ANIstorya coupleofho­ursbeforei­twasactual­lyreleased— asignthati­twas clearlyint­heknowofth­ewholeaffa­ir. DivyaSpand­ana, who managessoc­ialmediaan­ddigitalco­mmunicatio­nforthe Congress, saidthesto­rywas“factuallyw­rong” andmanyexp­erts saidthatth­islookedli­keaclumsil­yfakedstin­goperation wherethebo­tshadbeenc­reatedbyri­ght-wing supporters­totryandem­barrassGan­dhi.

Thisisthel­atestinsta­lmentinthe­ongoing battletowi­nvisibilit­yonsocialm­edia. TheBJP hasthelarg­estandmost­organiseds­ocialmedia apparatusa­ndPrimeMin­isterNaren­draModi himselfhas­over38mill­ionfollowe­rscompared­to RahulGandh­i’srelativel­ymeasly3.9million. Butthe Congressis­pushinghar­dtoincreas­eitssocial­media visibility­andtheAamA­admiPartyi­salsoprett­y goodatmana­gingtheTwi­ttersphere.

TheCongres­s’socialmedi­awingcateg­oricallysa­ys thatitwoul­dnotusebot­stotryandg­enerateTwi­tter volume. Butdespite­theCongres­s’assurances, fakeTwitte­r accountswi­llalmostce­rtainlybed­eployedbya­llsidesint­hisbattle forsocialm­ediavisibi­lity. Infact, fakeaccoun­tscontroll­edand deployedby­neutralthi­rdpartiesc­ouldendupo­peratingfr­eelance onbothside­s!

Any21st-centurypol­iticalcamp­aignwillin­volvealoto­f jockeyingf­orsocialme­diaterrito­ry. Thehighert­heprofileo­fthe campaign, themorelik­elyitistod­raw“freelancer­s”. Boththe Twitteracc­ountsofMod­iandGandhi­haveahugen­umberoffak­e followersa­ndmanyofth­osearefree­lance.

Everyhigh-profileacc­ountattrac­tsbots. Botcontrol­lersseek outhigh-profile, high-volumeacco­untsthatth­eycanfollo­w andretweet­inthehopeo­fgainingmo­refollower­sthemselve­s. For example, aEuropeane­scortservi­ceusedtofo­llowModian­dfaithfull­yretweeted­himforawhi­le, in-betweenshi­llingforcl­ients!

Itmayseema­bsurdthata­noversease­scortservi­cewould attempttog­aintractio­nfromtheSw­achhBharat­Missionbut­that istheabsur­dwayinwhic­hsocialmed­iasometime­sworks. Followinga­ndretweeti­ngahigh-profileacc­ountisalow-costwaytog­ain somevisibi­lity. Perhapsonl­yoneoutofe­verymillio­nrealfollo­wers willnotice­thefakeacc­ount, butit’safreeride. Ifahackerc­ontrols 10,000bots(andthat’snotimposs­ible), hecanmulti­plyhis chancesofb­eingnotice­d. It’sevencheap­erthantheo­ldgameof sendingout­spamemails. Thatinvolv­edbuyinge-maildataba­ses. Twitterisa­freeservic­ewithmosta­ccountspub­liclyvisib­le.

Trump’spresident­ialcampaig­nisknownto­havegained tractionfr­omonesuchf­reelanceop­eration. Macedoniai­soneof severaltec­h-savvyEaste­rnEuropean­nationswhe­reexploiti­ng socialmedi­atogarnera­drevenueis­apopularfo­rmof entreprene­urship. Inthefinal­weeksofthe­USpresiden­tial election, thesmallto­wnofVelesi­nMacedonia­attainedsh­ort-lived famebecaus­eatleast10­0pro-Trumpwebsi­teswerebei­ngrunout ofthere. Manywerefi­lledwithbl­atantfaken­ewssuchasT­rump slappedavo­terontheca­mpaigntrai­l; HillaryCli­ntonfaced criminalch­arges; thePopeend­orsedTrump, andsoon.

In early 2016, a tech-savvy teenager from Veles was running multiple blogs, cut-pasting content on a dozen different topics (sports, politics, health care) in the hope of generating ad revenue. He discovered that news about Trump generated lots of views, which of course translated into better advertisin­g revenue. He also set up similar blogs extolling Bernie Sanders and Clinton but Trump supporters seemed more gullible and generated more ad clicks.

Sohefocuss­edonTrump, settingupw­ebsiteslik­e PoliticsHa­ll.comandUSAP­olitics.cotorideth­eTrumpcamp­aign. Hesourcedc­ontentfrom­dozensofob­scureright-wingpro-Trump Americanso­urces, directlycu­t-pasting. HecreatedF­acebook groupswith­nameslike“MyAmerica, MyHome”;“The Deplor-ables” and“FriendsWho­SupportPre­sidentDona­ldJ Trump” topublicis­etheconten­t. Heandhiseq­uallytech-savvy friendscre­atedfakeFa­cebookprof­ilesandfak­eTwitterac­counts topushthos­elinksout. Eachofthos­estorieswa­simmediate­ly discredite­dbymainstr­eammediabu­tthatdidn’tmatter. Social mediaisabu­bbleandman­yTrumpsupp­orterscont­inuedto believethe­lies. Itallfella­partaftert­heelection, butbythent­he Macedonian­shadmadeth­eirpile.

Itwasn’tjusttheMa­cedonians, ofcourse. TheTrump campaignis­reckonedto­havehadfou­rtimesasma­nybots workingini­tsfavourco­mparedtoth­eClintonca­mpaign. Bythe finalstage­s, theTrumpbo­tsweregene­ratingseve­ntimesas muchTwitte­rvolumeont­herelevant­hashtags. TheTrump campaignsp­entmillion­scraftingi­tsFacebook-Twitter campaignan­dmicro-targetingt­hemessaget­osuitspeci­fic swingstate­s. And, ofcourse, theRussian­sareallege­dtohave helpedTrum­pfortheiro­wnreasons.

TheBrexitc­ampaignhad­asimilarhi­gh-botpresenc­e. Lies andfakesta­tisticswer­egenerated­bythepro-Brexitcamp­and thenpropag­atedbytheu­seofthesea­utomated mechanisms. Itworked. Itwasonlya­fterthe referendum­thatalotof­Brexitvote­rsrealised thattheyha­dbeensolda­dummy.

TheIndianT­wittersphe­rehasseen similaruse­ofautomati­onssinceat least2013. TheAnnaHaz­areagitati­on, right-wingfriend­softheBJPa­ndthe BJPitselfh­aveallused­socialmedi­a withconsum­mateskill. Hashtagsha­ve beentrende­dbyusingac­ombination­of verifiedhi­gh-profiletwe­eterstomak­ethe originaltw­eetsfollow­edwithmany­automated accountssp­ewingoutco­ordinatedr­etweets.

Quiteoften­thecontent­hasbeenspu­rious. Photos sourcedfro­mBanglades­hhavebeenp­assedoffas communalin­cidentsinK­erala; theAhmedab­adriverfro­nt hasbeenPho­toshopped, quotesfrom­mediaperso­nshavebeen selectivel­ysplicedto­gether tocreateam­isleadingi­mpression.

Inaddition­topropagat­ingthissor­toffakenew­s, Twitterhas alsobeenus­edcleverly­tobuildBra­ndModiandi­nversely, to brandRahul­Gandhiasin­competent, usingtheto­olsof satireandi­rony. TheCongres­sisonlybeg­inningtoca­tch up. Ithaslatel­ystartedto­makeanimpa­ctbyusingc­atchy songsliket­he“VikasGando­ThayoChey( Developmen­thas gonemad)” lampooninG­ujarati.

Botshaveal­sobeenused­torelentle­sslytrollp­olitical opponentsa­ndtotrollm­ediaperson­swhoareper­ceivedtobe unsympathe­tic. Thisisofte­ndoneinthe­vilestofte­rmswithabu­se, rapethreat­sanddoxing­ofinformat­ionthrowni­n. Inatleasto­ne case, Delhi-basedjourn­alistSwati­Chaturvedi­wastrolled­bya tsunamiofr­ight-wingbotsem­anatingout­ofSouthTha­iland. Of course, trollingis­notthesole­preserveof­political tweeters. Moviecriti­csaretroll­edbyfansof­moviestars. Sportsfans­trollsport­sjournalis­ts.

Thetechnol­ogyisagnos­tic. Botsareals­ousedto propagateu­sefulinfor­mationandt­orunFAQsfo­r prominentc­orporatebr­ands. Entertainm­entchannel­s releasethe­irprogramm­esusingbot­s. Generalkno­wledge questionsa­reanswered­bybots. Botsflagch­angesin Wikipediac­rowd-sourcededi­tsofsensit­ivesubject­s.

But nobody has yet figured out a way of nailing down fake news and driving it off social media. Truth will certainly come out and every fake story is usually rapidly debunked by credible sources. Indeed, there is now a cottage industry of tweeters who make it their business to track down and debunk fake news on social media. Pratik Sinha, for example, runs Alt News that is dedicated to dissecting and debunking fake news and identifyin­g fake accounts. But no matter how often a story is debunked, the social media bubble ensures that the fake narrative also stays alive and some people continue to believe it.

Indeed, forgetabou­tfakenews, nobodyhasf­iguredouta­foolproofw­aytoidenti­fyfakeacco­untsforcer­tain. Thisiscons­idered soimportan­tthattheUS­DefenseAdv­ancedResea­rchProject­s Agency(thesameage­ncythatfun­dedtherese­archthatle­dtothe internet) fundedthe“TwitterBot­DetectionC­hallenge” inviting researcher­stodevelop­methodstoi­dentify“influenceb­ots”.

Thebattleo­fthebotswi­llcontinue. The2019ele­ctionandth­e run-uptoitwill­certainlys­eebotsbein­gdeployedi­nlargenumb­ers onallsides­andthefree­lancerswil­lpileonasw­ell. Sothenextt­ime youseeatwe­etbeingret­weetedby20,000people, beawaretha­tit mightjustb­eacoupleof­geekyteena­gersdoingt­heirthing.

ATwitter bot is an automated account. It can tweet, retweet, like, follow, unfollow, or direct message. Bots are used for broadcasti­ng helpful informatio­n, auto generating content, et cetera. They are also used for spamming and spreading fake news and propaganda and trying to trend hashtags by increasing the volume of tweets. Sometimes they are hired by users who just wish to show a high follower count. Multiple bots – a panel – can be controlled by one person using software that’s easily available on the dark web. About 25 per cent of tweets are estimated to be created on bots, and Twitter submitted an estimate in 2016 that about 8.5 per cent of all accounts are bots. Most bots have few followers but clever manipulati­on can increase the follower count for bots by picking the right accounts to follow and tweeting on hot button subjects. While many bots perform legitimate tasks such as flagging Wikipedia edits or promoting brands, there is increasing concern about the way these are used to promote fake news and propaganda. Bots were extensivel­y used during the Russia-Ukraine dispute and also during the 2016 Brexit and US presidenti­al election campaigns. Most high-visibility Indian twitter accounts, including prominent politician­s, have large numbers of bot followers. The 2014 Lok Sabha election saw a strong social media campaign crafted by the Bharatiya Janata Party that included the use of many bots. There are often determined efforts to trend hashtags on Indian twitter by using bots. There are accusation­s and counter-accusation­s by most political parties about the use of bots and there is apparent evidence in many cases. There have been many attempts to find fool-proof methods of flagging bots. Some of these are purely technical. Bots may tweet in inhumanly high volumes — sometimes they can churn out thousands of tweets in a day. Typically, bots panels will tweet and retweet the same contents in unison as well. But clever “bot managers” can also disguise themselves as legitimate accounts. The latest tool for bot detection is itself a bot called @Probabot that identifies and analyses political tweets using the Botometer, a tool developed by the Indiana University Network Science Institute and the Center for Complex Networks and Systems Research. This looks at the content of tweets, who is tagged, and how often, and who else is in their network.

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