kth.sePublications
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Act like a human, think like a bot: A study on the capabilities required to implement a social bot on a social media platform
KTH, School of Electrical Engineering and Computer Science (EECS).
KTH, School of Electrical Engineering and Computer Science (EECS).
2022 (English)Independent thesis Basic level (degree of Bachelor), 10 credits / 15 HE creditsStudent thesisAlternative title
Agera som en människa, tänk som en bott : En studie över de färdigheter som krävs för att implementera en social bot på en social medieplattform (Swedish)
Abstract [en]

Social media platforms have revolutionized how people interact with each other and how people gain information. However, social media platforms such as Twitter quickly became a platform for public manipulation and spreading or amplifying political or ideological misinformation. Although malicious content can be shared by individuals, today millions of coordinated automated clients disguised as individuals exist, also called social bots which have become a significant contributor of the malicious content spread on social media platforms. Therefore, this study aims to investigate in closer look what the requirements are to create a basic social bot from resources available from the internet. A proof-ofconcept prototype is implemented in the form of a social bot on Twitter. The experiences from the work indicate thatthe skills required to create a basic social botare well within reach ofa third-year Bachelor student in the field of computer science.

Abstract [sv]

Sociala medier har revolutionerat människors sätt att integrera med varandra samt hur de delar och hämtar information. Däremot har sociala medier såsom Twitter snabbt blivit en plattform för offentlig manipulation och spridning eller förstärkning av politisk eller ideologisk desinformation. Även om skadligt innehåll kan delas av individer finns det idag miljontals koordinerade automatiserade klienter förklädda som individer, även kallade sociala bottar som har blivit en betydande bidragsgivare till det skadliga innehållet som sprids på sociala medieplattformar. Därför syftar detta arbete på att närmare undersöka vad som krävs för att skapa en grundläggande social bot på en social mediaplattform från resurser tillgängliga från internet. En bevis-på-koncept-prototyp implementeras i form av en social bot på Twitter. Erfarenheterna från arbetet tyder på att de färdigheter som krävs för att skapa en grundläggande social bot ligger väl inom räckhåll för en tredjeårs kandidatstudent inom området datavetenskap.

Place, publisher, year, edition, pages
2022. , p. 55
Series
TRITA-EECS-EX ; 2022:314
Keywords [en]
Bots, Social bots, Software engineering, Social media, Twitter, Fake news, Capabilities
Keywords [sv]
Bottar, Sociala bottar, Mjukvaruutveckling, Sociala medier, Twitter, Missvisande nyheter, Färdigheter
National Category
Computer and Information Sciences
Identifiers
URN: urn:nbn:se:kth:diva-319894OAI: oai:DiVA.org:kth-319894DiVA, id: diva2:1702343
Subject / course
Information Technology
Educational program
Master of Science in Engineering - Information and Communication Technology
Supervisors
Examiners
Available from: 2022-10-11 Created: 2022-10-10 Last updated: 2022-10-11Bibliographically approved

Open Access in DiVA

fulltext(3246 kB)298 downloads
File information
File name FULLTEXT01.pdfFile size 3246 kBChecksum SHA-512
a636a69f3a00dd8b944019234ac5784c9c4684d6ecdd9dc8fe08c0075fa27cc3abc9786084dd74ab6ad5b6f3e7533cf2a8bf858b2898d4b572f48f9e9c27724b
Type fulltextMimetype application/pdf

By organisation
School of Electrical Engineering and Computer Science (EECS)
Computer and Information Sciences

Search outside of DiVA

GoogleGoogle Scholar
Total: 298 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

urn-nbn

Altmetric score

urn-nbn
Total: 548 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf