AnInternet bot,web robot,robotor simplybot(an abbreviation ofrobot),[1]is asoftware applicationthat runs automated tasks (scripts) on theInternet,usually with the intent to imitate human activity, such as messaging, on a large scale.[2]An Internet bot plays theclientrole in aclient–server modelwhereas theserverrole is usually played byweb servers.Internet bots are able to perform simple and repetitive tasks much faster than a person could ever do. The most extensive use of bots is forweb crawling,in which an automated script fetches, analyzes and files information fromwebservers. More than half of all web traffic is generated by bots.[3]

Efforts by web servers to restrict bots vary. Some servers have arobots.txtfile that contains the rules governing bot behavior on that server. Any bot that does not follow the rules could, in theory, be denied access to or removed from the affected website. If the posted text file has no associated program/software/app, then adhering to the rules is entirely voluntary. There would be no way to enforce the rules or to ensure that a bot's creator or implementer reads or acknowledges the robots.txt file. Some bots are "good", e.g.search engine spiders,while others are used to launch malicious attacks on political campaigns, for example.[3]

IM and IRC

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Some bots communicate with users of Internet-based services, viainstant messaging(IM),Internet Relay Chat(IRC), or other web interfaces such asFacebook botsandTwitter bots.Thesechatbotsmay allow people to ask questions in plain English and then formulate a response. Such bots can often handle reporting weather,zip codeinformation, sports scores, currency or other unit conversions, etc.[4]Others are used for entertainment, such asSmarterChildonAOL Instant MessengerandMSN Messenger.[citation needed]

Additional roles of an IRC bot may be to listen on a conversation channel, and to comment on certain phrases uttered by the participants (based onpattern matching). This is sometimes used as a help service for new users or to censorprofanity.[citation needed]

Social bots

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Social bots are sets of algorithms that take on the duties of repetitive sets of instructions in order to establish a service or connection among social networking users. Among the various designs of networking bots, the most common arechat bots,algorithms designed to converse with a human user, and social bots, algorithms designed to mimic human behaviors to converse with patterns similar to those of a human user. The history of social botting can be traced back toAlan Turingin the 1950s and his vision of designing sets of instructional code approved by theTuring test.In the 1960sJoseph WeizenbaumcreatedELIZA,a natural language processing computer program considered an early indicator of artificial intelligence algorithms. ELIZA inspired computer programmers to design tasked programs that can match behavior patterns to their sets of instruction. As a result, natural language processing has become an influencing factor to the development of artificial intelligence and social bots. And as information and thought see a progressive mass spreading on social media websites, innovative technological advancements are made following the same pattern.[citation needed]

Twitter bots posting similar messages during the2016 United States elections

Reports of political interferences in recent elections, including the 2016 US and 2017 UK general elections,[5]have set the notion of bots being more prevalent because of the ethics that is challenged between the bot's design and the bot's designer.Emilio Ferrara,a computer scientist from the University of Southern California reporting on Communications of the ACM,[6]said the lack of resources available to implementfact-checkingand information verification results in the large volumes of false reports and claims made about these bots on social media platforms. In the case of Twitter, most of these bots are programmed with search filter capabilities that target keywords and phrases favoring political agendas and then retweet them. While the attention of bots is programmed to spread unverified information throughout the social media platforms,[7]it is a challenge that programmers face in the wake of a hostile political climate. The Bot Effect is what Ferrera reported as the socialization of bots and human users creating a vulnerability to the leaking of personal information and polarizing influences outside the ethics of the bot's code, and was confirmed by Guillory Kramer in his study where he observed the behavior of emotionally volatile users and the impact the bots have on them, altering their perception of reality.[citation needed]

Commercial bots

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There has been a great deal of controversy about the use of bots in an automated trading function. Auction websiteeBaytook legal action in an attempt to suppress a third-party company from using bots to look for bargains on its site; this approach backfired on eBay and attracted the attention of further bots. The United Kingdom-basedbet exchange,Betfair,saw such a large amount of traffic coming from bots that it launched a WebService API aimed at bot programmers, through which it can actively manage bot interactions.[citation needed]

Bot farms are known to be used in online app stores, like theApple App StoreandGoogle Play,to manipulate positions[8]or increase positive ratings/reviews.[9]

A rapidly growing, benign form of internet bot is thechatbot.From 2016, when Facebook Messenger allowed developers to place chatbots on their platform, there has been an exponential growth of their use on that app alone. 30,000 bots were created for Messenger in the first six months, rising to 100,000 by September 2017.[10]Avi Ben Ezra, CTO of SnatchBot, told Forbes that evidence from the use of their chatbot building platform pointed to a near future saving of millions of hours of human labor as 'live chat' on websites was replaced with bots.[11]

Companies use internet bots to increase online engagement and streamline communication. Companies often use bots to cut down on cost; instead of employing people to communicate with consumers, companies have developed new ways to be efficient. These chatbots are used to answer customers' questions: for example,Domino'sdeveloped a chatbot that can take orders viaFacebook Messenger.Chatbots allow companies to allocate their employees' time to other tasks.[12]

Malicious bots

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One example of the malicious use of bots is the coordination and operation of anautomated attackon networked computers, such as adenial-of-service attackby abotnet.Internet bots or web bots can also be used to commitclick fraudand more recently have appeared aroundMMORPGgames ascomputer game bots.Another category is represented byspambots,internet bots that attempt tospamlarge amounts of content on the Internet, usually adding advertising links. More than 94.2% of websites have experienced a bot attack.[3]

There are malicious bots (andbotnets) of the following types:

  1. Spambotsthat harvest email addresses from contact or guestbook pages
  2. Downloaded programs that suckbandwidthby downloading entire websites
  3. Website scrapers that grab the content of websites and re-use it without permission on automatically generated doorway pages
  4. Registration bots that sign up a specific email address to numerous services in order to have the confirmation messages flood the email inbox and distract from important messages indicating a security breach.[13]
  5. Viruses and worms
  6. DDoSattacks
  7. Botnets,zombie computers,etc.
  8. Spambots that try to redirect people onto a malicious website, sometimes found in comment sections or forums of various websites
  9. Viewbots create fake views[14][15]
  10. Bots that buy up higher-demand seats for concerts, particularly byticket brokerswho resell the tickets.[16]These bots run through the purchase process of entertainment event-ticketing sites and obtain better seats by pulling as many seats back as it can.
  11. Bots that are used inmassively multiplayer online role-playing gamesto farm for resources that would otherwise take significant time or effort to obtain, which can be a concern for online in-game economies.[17]
  12. Bots that increase traffic counts on analytics reporting to extract money from advertisers. A study byComscorefound that over half of ads shown across thousands of campaigns between May 2012 and February 2013 were not served to human users.[18]
  13. Bots used on internet forums to automatically post inflammatory or nonsensical posts todisrupt the forum and anger users.

in 2012, journalist Percy von Lipinski reported that he discovered millions of bots or botted or pinged views at CNNiReport.CNNiReport quietly removed millions of views from the account of iReporter Chris Morrow.[19]It is not known if the ad revenue received by CNN from the fake views was ever returned to the advertisers.[citation needed]

The most widely used anti-bot technique is the use ofCAPTCHA.Examples of providers includeRecaptcha,Minteye,Solve MediaandNuCaptcha.However, captchas are not foolproof in preventing bots, as they can often becircumventedby computer character recognition, security holes, and outsourcing captcha solving to cheap laborers.[citation needed]

Human interaction with social bots

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There are two main concerns with bots: clarity and face-to-face support. The cultural background of human beings affects the way they communicate with social bots.[citation needed]

Many people believe that bots are vastly less intelligent than humans and so they are not worthy of our respect.[2]

Min-Sun Kim proposed five concerns or issues that may arise when communicating with a social robot, and they are avoiding the damage of peoples' feelings, minimizing impositions, disapproval from others, clarity issues, and how effective their messages may come across.[2]

People who oppose social robots argue that they also take away from the genuine creations of human relationships.[2]

See also

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References

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  1. ^"bot".Etymology, origin and meaning of bot by etymonline.October 9, 1922.RetrievedSeptember 21,2023.
  2. ^abcdDunham, Ken; Melnick, Jim (2009).Malicious Bots: An outside look of the Internet.CRC Press.ISBN978-1420069068.
  3. ^abcZeifman, Igal (January 24, 2017)."Bot Traffic Report 2016".Incapsula.RetrievedFebruary 1,2017.
  4. ^"What is a bot: types and functions".IONOS Digitalguide.November 16, 2021.RetrievedJanuary 28,2022.
  5. ^Howard, Philip N (October 18, 2018)."How Political Campaigns Weaponize Social Media Bots".IEEE Spectrum.
  6. ^Ferrara, Emilio; Varol, Onur; Davis, Clayton; Menczer, Filippo; Flammini, Alessandro (2016)."The Rise of Social Bots".Communications of the ACM.59(7): 96–104.arXiv:1407.5225.doi:10.1145/2818717.S2CID1914124.
  7. ^Alessandro, Bessi; Emilio, Ferrara (November 7, 2016). "Social Bots Distort the 2016 US Presidential Election Online Discussion".First Monday.SSRN2982233.
  8. ^"Biggest FRAUD in the Top 25 Free Ranking".TouchArcade – iPhone, iPad, Android Games Forum.
  9. ^"App Store fake reviews: Here's how they encourage your favourite developers to cheat".Electricpig.Archived fromthe originalon October 18, 2017.RetrievedJune 11,2014.
  10. ^"Facebook Messenger Hits 100,000 bots".April 18, 2017.RetrievedSeptember 22,2017.
  11. ^Murray Newlands."These Chatbot Usage Metrics Will Change Your Customer Service Strategy".Forbes.RetrievedMarch 8,2018.
  12. ^"How companies are using chatbots for marketing: Use cases and inspiration".MarTech Today.January 22, 2018.RetrievedApril 10,2018.
  13. ^Dima Bekerman:How Registration Bots Concealed the Hacking of My Amazon Account,Application Security, Industry Perspective, December 1st, 2016, In: www.Imperva.com/blog
  14. ^Carr, Sam (July 15, 2019)."What Is Viewbotting: How Twitch Are Taking On The Ad Fraudsters".PPC Protect.RetrievedSeptember 19,2020.
  15. ^Lewis, Richard (March 17, 2015)."Leading StarCraft streamer embroiled in viewbot controversy".Dot Esports.RetrievedSeptember 19,2020.
  16. ^Safruti, Ido (June 19, 2017)."Why Detecting Bot Attacks Is Becoming More Difficult".DARKReading.
  17. ^Kang, Ah Reum; Jeong, Seong Hoon; Mohaisen, Aziz; Kim, Huy Kang (April 26, 2016)."Multimodal game bot detection using user behavioral characteristics".SpringerPlus.5(1): 523.arXiv:1606.01426.doi:10.1186/s40064-016-2122-8.ISSN2193-1801.PMC4844581.PMID27186487.
  18. ^Holiday, Ryan(January 16, 2014)."Fake Traffic Means Real Paydays".BetaBeat.Archived fromthe originalon January 3, 2015.RetrievedApril 28,2014.
  19. ^von Lipinski, Percy (May 28, 2013)."CNN's iReport hit hard by pay-per-view scandal".PulsePoint. Archived fromthe originalon August 18, 2016.RetrievedJuly 21,2016.
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