DigitalForces– Social:FutureTrends,StudentProjectsHighlight,Software,
andMore
TCSiON FacultyDevelopmentProgrammeSept7,2016
PonnurangamKumaraguru(“PK”)AssociateProfessor
ACMDistinguishedSpeakerfb/ponnurangam.kumaraguru,@ponguru
WhoamI?
� AssociateProfessor,IIIT-Delhi� Ph.D.fromSchoolofComputerScience,
CarnegieMellonUniversity(CMU)� Researchinterests-Privacy,e-crime,onlinesocialmedia,andusablesecurity
� FoundingHead,CERC@IIITD� Co-ordinateandmanagePrecog,precog.iiitd.edu.in
� ACMDistinguishedSpeaker
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TrainingData
� 500Tweetsperevent� UsedCrowdFlower
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Event Tweets UsersBostonMarathonBlasts(2013) 7,888,374 3,677,531
Typhoon Haiyan /Yolanda(2013) 671,918 368,269
CyclonePhailin (2013) 76,136 34,776
WashingtonNavy yard shootings (2013) 484,609 257,682
Polarvortex cold wave (2014) 143,959 116,141
OklahomaTornadoes (2013) 809,154 542,049
Total 10,074,150 4,996,448
CredibilityModeling
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Featureset Features (45)
Tweetmeta-dataNumberofsecondssincethetweet;Sourceoftweet(mobile/web/etc);Tweetcontainsgeo-coordinates
Tweetcontent(simple)
Numberofcharacters;Numberofwords;NumberofURLs;Numberofhashtags;Numberofuniquecharacters;Presenceofstocksymbol;Presenceofhappysmiley;Presenceofsadsmiley;Tweetcontains`via';Presenceofcolonsymbol
Tweetcontent(linguistic)
Presenceofswearwords;Presenceofnegativeemotionwords;Presenceofpositiveemotionwords;Presenceofpronouns;Mentionofselfwords intweet(I;my;mine)
Tweetauthor Numberoffollowers;friends;timesincetheuserifonTwitter;etc.
TweetnetworkNumberofretweets;Numberofmentions;Tweetisareply;Tweet isaretweet
Tweet links WOTscorefortheURL;Ratiooflikes/dislikesforaYouTubevideo
Challenges
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ProfessionalOpinion
Dating
HeterogeneousOSNs
Personal
DegreeofDetails
QualityanddescriptivepersonalAndprofessionalinformation
Little personalinformationDescriptiveopinions
AttributeEvolution
Time
Informationevolvedononebutnotonother
{jainpari,Bangalore}
RegistrationwithsameinformationonbothOSNs{paridhij,NewDelhi}
GenericIdentityResolution
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Extractavailable&
discriminativefeatures
CandidateIdentities
IDENTITYSEARCH IDENTITYLINKING
PairwiseComparisons
HeuristicIdentitySearch
22cerc.iiitd.ac.in
Profile
Content
Self-mention
Network Syntactic and Image
Search Linking
If self-identified / returned by
more than one search method
No
Yes
Candidate Identities
name, location,usernamemobile no,
post,friends,
followers
ParidhiJain,Ponnurangam Kumaraguru,andAnupam Joshi.2013.@Iseek‘fb.me’:IdentifyingUsersacrossMultipleOnlineSocialNetworks.InProceedingsofthe22ndInternationalConferenceonWorldWideWeb,WWW’13Companion.ACM,NewYork,NY,USA,1259- 1268.DOI=http://dx.doi.org/10.1145/2487788.2488160[HonorableMentionAward}
ProblemStatement
� Designingtechnologytosupportcommunicativeandcollaborativepolicinginurbancommunitiesleveragingonlinesocialmediaasaplatform
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Methodology
� Interviewusingmulti-stakeholderapproach
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Citizens Police
• 17Interviews• 204Survey
• 20Interviews• 445Surveys
InterviewAnalysis(Groundtheory)
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WhyOSN:WhatarethewayspolicecanuseOSNtomaintainlawandorder?HowcancitizenshelppoliceusingOSN?
Increasecitizenvolunteerstoreportcrime.Reducecommunicationgap/engagebetter.ImproveCoordination.
PreferredOSNplatform:WhichOSNwillpoliceandcitizensliketouseformaintaininglawandorder?WhichOSNismostusefulandhelpful forlawandorderpurposes?
Amongofficersonly.Withcitizens.
Targetaudience:WhoisthetargetaudienceforpoliceonOSNforbuilding intelligence,stayingconnected,broadcastinginformation?(nosubcategories)Challengesandlimitations:AretheresomehindranceswhichstoptheuseofOSNasaneffectivetoolformaintaining lawandorder?Whataccordingtoyouarethemajorhindrances?Whatdoyouthinkcangowrong?Anyexample?
Meaningfulinformation.Verifytheinformation.Acknowledgecitizen’smessages.Needtechnicalteamsandguidelines
Citizenvolunteers– Increasehumanresource
� Involvecitizenvolunteerstoidentifyoffenders- Findtrafficdefaulters
- Neighborhoodcrimereporters
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“DelhiTrafficPolicepageinvolves publicinfindingtrafficviolators, onthebasisofwhichchallans (fine)areissued.Soourlimitedresourcesareincreasedandwecancatchmanymorepeoplebyseekinghelpofpublic.”
ByP17
ByP7
“OSNhashelpedintraffic management,introducedgoodtrafficpractices, samecanbedonefor[other]crimessuchasviolenceorpropertyfraud.OSNcanbeusedtocreateacommunity ofpeoplewhowillbeusingit(OSN)[toidentifycrime].“
“IfIseeagirlinavulnerablesituation Imightgivethisinformation, andthey[Police]cantakeinstantaction.”
ByC7
ReduceCommunicationGap� UnderstandCitizenOpinion
� ProvidesAnonymity� Useoffakeprofiles
� Complainaboutcrimeagainstinfluentialpeople
� Citizensfortheirownsafetyshouldnotinformthepolicethroughpublicpostswithsensitivecontent.
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“Suppose,wewanttoformanopinionaboutatopicinthatcasewecangetalotofinformation fromdifferentpeople.Wecanformanopinion/makepolicydecisions[basedontheseopinions].“ ByP1
QuantifyActionableInformation
WhetherOSNcansupportpolicetogetactionable informationaboutcrimeand
residents’opinionaboutpolicingactivities inurbancitiesofIndia.
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Methodology:DataCollection
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1600commentson255posts
Posts&Comments
Filtered
Collectedpublicposts,21July- 21Aug2014
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HowmanyofyouhavepostedmobilenumbersonOnlineSocial
Networks?
Howmanyofyouhaveseenmobilenumbersbeingpostedon
OnlineSocialNetworks?
Datastatistics
� Twitter:12thOctober2012– 20thOctober2013� Facebook: 16thNovember2012– 20thApril2013
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Numbers Category+91 Category0 Categoryvoid Total
Twitter Facebook Twitter Facebook Twitter Facebook Twitter Facebook
MobileNumbers
885 2,191 14,909 8,873 25,566 25,294 41,360 36,358
Userprofiles
1,074 2,663 17,913 9,028 31,149 25,406 49,817 36,588
0.08
7.73
0.14
7.101.10
6.88
0.28
8.14
1.96
8.58
0.52
0.21
0.74
3.19
9.38
0.350.03
0.04
0.25
2.94
11.290.02
8.57
0.05
9.39
9.530.21
0.17
9.390.48
0.020.03
0.010.08
Sample
Demographics
Gender(N=10,232)Male 67.57Female 32.43
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Age(N=10,350)<18 1.5418-24 21.3125-29 32.2030-39 25.9040-49 14.0950-64 4.4665+ 0.50
Age
Internet&SocialMediaWhatdoyoufeelaboutprivacyofyourpersonalinformationonyourOSN?
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Q42,N=6,855ItisnotaconcernatallSinceIhavespecifiedmyprivacysettings,mydataissecurefromaprivacybreachEventhough,Ihavespecifiedmyprivacysettings,IamconcernedaboutprivacyofmydataItisaconcern,butIstillsharepersonalinformationItisaconcern;henceIdonotsharepersonaldataonOSN
Internet&SocialMediaWhatdoyoufeelaboutprivacyofyourpersonalinformationonyourOSN?
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Q42,N=6,855ItisnotaconcernatallSinceIhavespecifiedmyprivacysettings,mydataissecurefromaprivacybreach 42.13Eventhough,Ihavespecifiedmyprivacysettings,IamconcernedaboutprivacyofmydataItisaconcern,butIstillsharepersonalinformationItisaconcern;henceIdonotsharepersonaldataonOSN
Internet&SocialMediaWhatdoyoufeelaboutprivacyofyourpersonalinformationonyourOSN?
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Q42,N=6,855Itisnotaconcernatall 19.30SinceIhavespecifiedmyprivacysettings,mydataissecurefromaprivacybreach 42.13Eventhough,Ihavespecifiedmyprivacysettings,Iamconcernedaboutprivacyofmydata 23.84Itisaconcern,butIstillsharepersonalinformation 8.02Itisaconcern;henceIdonotsharepersonaldataonOSN 6.71
Internet&SocialMediaIfyoureceiveafriendshiprequestonyourmostfrequentlyusedOSN,whichofthefollowingpeoplewillyouaddasfriends?
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Q43,N=6,929PersonofoppositegenderPeoplefrommyhometownPersonwithniceprofilepictureStrangers(peopleyoudonotknow)Somebody,whomyoudonotknoworrecognizebuthavemutual/commonfriendswithAnyone
Internet&SocialMediaIfyoureceiveafriendshiprequestonyourmostfrequentlyusedOSN,whichofthefollowingpeoplewillyouaddasfriends?
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Q43,N=6,929PersonofoppositegenderPeoplefrommyhometownPersonwithniceprofilepicture 10.12Strangers(peopleyoudonotknow)Somebody,whomyoudonotknoworrecognizebuthavemutual/commonfriendswithAnyone
Internet&SocialMediaIfyoureceiveafriendshiprequestonyourmostfrequentlyusedOSN,whichofthefollowingpeoplewillyouaddasfriends?
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Q43,N=6,929Personofoppositegender 27.39PeoplefrommyhometownPersonwithniceprofilepicture 10.12Strangers(peopleyoudonotknow)Somebody,whomyoudonotknoworrecognizebuthavemutual/commonfriendswithAnyone 2.99
Internet&SocialMediaIfyoureceiveafriendshiprequestonyourmostfrequentlyusedOSN,whichofthefollowingpeoplewillyouaddasfriends?
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Q43,N=6,929Personofoppositegender 27.39Peoplefrommyhometown 19.51Personwithniceprofilepicture 10.12Strangers(peopleyoudonotknow) 4.99Somebody,whomyoudonotknoworrecognizebuthavemutual/commonfriendswith 8.31Anyone 2.99
Takeaways
� OnlineSocialMediaisadifferentbeastintermsofprivacy,identity,andcredibility-Research/technologiesshouldbedeveloped
�Multipleinterestingresearch,engineering,andinnovationwaitingtobedone
� Iaminterestedincollaborating/interactingwithfacultyandresearchersinterestedintheseandtopicsaroundthese
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StudentProjects
� EvaluatereputationonOSM�Measureinformationdiffusion� Trust&Credibility� Privacy� SocialNetworkAnalysis� e-crime� Policing� Identityresolution
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