Difference between revisions of "Clickbait"

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Clickbait refers to a certain kind of web content advertisement that is designed to entice its readers into clicking an accompanying link, they are usually found in journalism and social media sites in the form of short teaser messages <ref>Potthast, Martin; Köpsel, Sebatian; Stein, Benno; Hagen, Matthias (2016). ClickBait Detection Bauhaus-Universität Weimer</ref> that are designed to attract the attention of people. They encourage people to click on them without giving much information about what the reader is going to find next and are often filled with stories that are fake, opinion-based, with little-to-no research done to back up the author’s points.<ref name="TWP">The Washington Post website: "What is ‘click bait’ and why Facebook wants to display less of it" https://www.washingtonpost.com/news/technology/wp/2014/08/26/what-is-click-bait-and-why-facebook-wants-to-display-less-of-it/?utm_term=.eccfff2e28b8</ref><ref >Tech Crunch: "*** is a clickbait "https://techcrunch.com/2016/09/25/wtf-is-clickbait/"</ref><ref >Click Bait Websites and the Age of Misinformation "https://jordandetmers.com/2014/09/11/click-bait-websites-and-the-age-of-misinformation/"</ref>. Online news media outlets rely heavily on page views to generate ad revenue and use clickbaits to increase the amount of people that visit their page <ref> Chakraborty, Abhijnan; Paranjape, Bhargavi; Kakarla, Sourya;  Ganguly, Niloy (2016). Stop Clickbait: Detecting and Preventing Clickbaits in Online News Media Cornell University Library</ref><ref >The dirty secrets of clickbait. This post will blow your mind! "https://econsultancy.com/blog/64399-the-dirty-secrets-of-clickbait-this-post-will-blow-your-mind/"</ref>. The presence of clickbaits online create many ethical concern as they threaten to clog up social media channels, spreading misinformation, and creating controversy. <ref>Potthast, Martin; Köpsel, Sebatian; Stein, Benno; Hagen, Matthias (2016). ClickBait Detection Bauhaus-Universität Weimer</ref><ref >Click Bait Websites and the Age of Misinformation "https://jordandetmers.com/2014/09/11/click-bait-websites-and-the-age-of-misinformation/"</ref>
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Clickbait refers to a certain kind of web content advertisement that is designed to entice its readers into clicking an accompanying link, they are usually found in journalism and social media sites in the form of short teaser messages <ref>Potthast, Martin; Köpsel, Sebatian; Stein, Benno; Hagen, Matthias (2016). ClickBait Detection Bauhaus-Universität Weimer</ref> that are designed to attract the attention of people. They encourage people to click on them without giving much information about what the reader is going to find next and are often filled with stories that are fake, opinion-based, with little-to-no research done to back up the author’s points.<ref name="TWP">The Washington Post website: "What is ‘click bait’ and why Facebook wants to display less of it" https://www.washingtonpost.com/news/technology/wp/2014/08/26/what-is-click-bait-and-why-facebook-wants-to-display-less-of-it/?utm_term=.eccfff2e28b8</ref><ref >Tech Crunch: "*** is a clickbait "https://techcrunch.com/2016/09/25/wtf-is-clickbait/"</ref><ref >Click Bait Websites and the Age of Misinformation "https://jordandetmers.com/2014/09/11/click-bait-websites-and-the-age-of-misinformation/"</ref> Online news media outlets rely heavily on page views to generate ad revenue and use clickbaits to increase the amount of people that visit their page. <ref> Chakraborty, Abhijnan; Paranjape, Bhargavi; Kakarla, Sourya;  Ganguly, Niloy (2016). Stop Clickbait: Detecting and Preventing Clickbaits in Online News Media Cornell University Library</ref><ref >The dirty secrets of clickbait. This post will blow your mind! "https://econsultancy.com/blog/64399-the-dirty-secrets-of-clickbait-this-post-will-blow-your-mind/"</ref> The presence of clickbaits online create many ethical concern as they threaten to clog up social media channels, spreading misinformation, and creating controversy. <ref>Potthast, Martin; Köpsel, Sebatian; Stein, Benno; Hagen, Matthias (2016). ClickBait Detection Bauhaus-Universität Weimer</ref><ref >Click Bait Websites and the Age of Misinformation "https://jordandetmers.com/2014/09/11/click-bait-websites-and-the-age-of-misinformation/"</ref>
 
[[File:Clickbait6.jpg‎|thumb| Examples of Clickbait headlines]]
 
[[File:Clickbait6.jpg‎|thumb| Examples of Clickbait headlines]]
  
 
==Backlash==
 
==Backlash==
The presence of clickbaits have been present since the emergence of [https://en.wikipedia.org/wiki/Tabloid_journalism tabloid journalism] <ref>Chakraborty, Abhijnan; Paranjape, Bhargavi; Kakarla, Sourya; Ganguly, Niloy (2016). Stop Clickbait: Detecting and Preventing Clickbaits in Online News Media Department of Computer Science and Engineering Indian Institute of Technology Kharagpur, India</ref> and have put pressure on [https://en.wikipedia.org/wiki/Old_media legacy media] because of the competition for readers and revenue<ref name="PBS">PBS website: "Column: Why click-bait will be the death of journalism" http://www.pbs.org/newshour/making-sense/what-you-dont-know-about-click-bait-journalism-could-kill-you</ref>. There have been many research done in understanding the psychological appeal of clickbaits and methods for detecting them has gained popularity. <ref>Chakraborty, Abhijnan; Paranjape, Bhargavi; Kakarla, Sourya; Ganguly, Niloy (2016). Stop Clickbait: Detecting and Preventing Clickbaits in Online News Media Department of Computer Science and Engineering Indian Institute of Technology Kharagpur, India</ref> Social media websites have recognized the issues surrounding clickbaits and have made several attempts to be able to recognize them quickly and prevent them from gaining popularity. Facebook has recognized the problem and has made efforts to improve their newsfeed to "help people find the posts and links from publishers that are most interesting and relevant, and to continue to weed out stories that people frequently tell us are spammy and that they don’t want to see." <ref name="TWP">The Washington Post website: "What is ‘click bait’ and why Facebook wants to display less of it" https://www.washingtonpost.com/news/technology/wp/2014/08/26/what-is-click-bait-and-why-facebook-wants-to-display-less-of-it/?utm_term=.eccfff2e28b8</ref> Systems have been created that detects clickbaits by identifying phrases that are commonly used in clickbait headlines<ref name="Facebook">Facebook newsroom website: "News Feed FYI: Further Reducing Clickbait in Feed"http://newsroom.fb.com/news/2016/08/news-feed-fyi-further-reducing-clickbait-in-feed/</ref> <ref >engadget: "Facebook is ramping up its fight against clickbait"https://www.engadget.com/2016/08/04/facebook-is-ramping-up-its-fight-against-clickbait/</ref> or identifying clickbaits by measuring the amount of time that the user spend on the website after clicking the link <ref name="TWP">The Washington Post website: "What is ‘click bait’ and why Facebook wants to display less of it" https://www.washingtonpost.com/news/technology/wp/2014/08/26/what-is-click-bait-and-why-facebook-wants-to-display-less-of-it/?utm_term=.eccfff2e28b8</ref>. Other scholars have also developed clickbait detection models and extensions to further help decrease how often they appear and achieving an accurate detection 93% of the time.<ref>Potthast, Martin; Köpsel, Sebatian; Stein, Benno; Hagen, Matthias (2016). ClickBait Detection Bauhaus-Universität Weimer</ref><ref>Abhijnan Chakraborty, Bhargavi Paranjape, Sourya Kakarla, Niloy Ganguly (2016). Stop Clickbait: Detecting and preventing clickbaits in online news media IEEE Xplore Digital Library</ref>.
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The presence of clickbaits have been present since the emergence of [https://en.wikipedia.org/wiki/Tabloid_journalism tabloid journalism] <ref>Chakraborty, Abhijnan; Paranjape, Bhargavi; Kakarla, Sourya; Ganguly, Niloy (2016). Stop Clickbait: Detecting and Preventing Clickbaits in Online News Media Department of Computer Science and Engineering Indian Institute of Technology Kharagpur, India</ref> and have put pressure on [https://en.wikipedia.org/wiki/Old_media legacy media] because of the competition for readers and revenue.<ref name="PBS">PBS website: "Column: Why click-bait will be the death of journalism" http://www.pbs.org/newshour/making-sense/what-you-dont-know-about-click-bait-journalism-could-kill-you</ref> There have been many research done in understanding the psychological appeal of clickbaits and methods for detecting them has gained popularity.<ref>Chakraborty, Abhijnan; Paranjape, Bhargavi; Kakarla, Sourya; Ganguly, Niloy (2016). Stop Clickbait: Detecting and Preventing Clickbaits in Online News Media Department of Computer Science and Engineering Indian Institute of Technology Kharagpur, India</ref> Social media websites have recognized the issues surrounding clickbaits and have made several attempts to be able to recognize them quickly and prevent them from gaining popularity. Facebook has recognized the problem and has made efforts to improve their newsfeed to "help people find the posts and links from publishers that are most interesting and relevant, and to continue to weed out stories that people frequently tell us are spammy and that they don’t want to see".<ref name="TWP">The Washington Post website: "What is ‘click bait’ and why Facebook wants to display less of it" https://www.washingtonpost.com/news/technology/wp/2014/08/26/what-is-click-bait-and-why-facebook-wants-to-display-less-of-it/?utm_term=.eccfff2e28b8</ref> Systems have been created that detects clickbaits by identifying phrases that are commonly used in clickbait headlines<ref name="Facebook">Facebook newsroom website: "News Feed FYI: Further Reducing Clickbait in Feed"http://newsroom.fb.com/news/2016/08/news-feed-fyi-further-reducing-clickbait-in-feed/</ref> <ref >engadget: "Facebook is ramping up its fight against clickbait"https://www.engadget.com/2016/08/04/facebook-is-ramping-up-its-fight-against-clickbait/</ref> or identifying clickbaits by measuring the amount of time that the user spend on the website after clicking the link <ref name="TWP">The Washington Post website: "What is ‘click bait’ and why Facebook wants to display less of it" https://www.washingtonpost.com/news/technology/wp/2014/08/26/what-is-click-bait-and-why-facebook-wants-to-display-less-of-it/?utm_term=.eccfff2e28b8</ref>. Other scholars have also developed clickbait detection models and extensions to further help decrease how often they appear and achieving an accurate detection 93% of the time.<ref>Potthast, Martin; Köpsel, Sebatian; Stein, Benno; Hagen, Matthias (2016). ClickBait Detection Bauhaus-Universität Weimer</ref><ref>Abhijnan Chakraborty, Bhargavi Paranjape, Sourya Kakarla, Niloy Ganguly (2016). Stop Clickbait: Detecting and preventing clickbaits in online news media IEEE Xplore Digital Library</ref>
 
==Types==
 
==Types==
  
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==Ethical concerns==
 
==Ethical concerns==
Clickbait headlines typically aim to "exploit a “curiosity gap” by providing just enough information to make a reader curious, but not enough to satisfy that curiosity"<ref >Curiosity Has the Power to Change Behavior for the Bette "http://www.apa.org/news/press/releases/2016/08/curiosity-behavior.aspx"</ref><ref>Wikipedia: Clickbaits https://en.wikipedia.org/wiki/Clickbait</ref>. The readers expectations are higher than what the article actually contains which leads to negative experiences, such as frustruation.<ref name="Clicks">Prakhar Biyani; Kostas Tsioutsiouliklis; John Blackmer (2016). “8 Amazing Secrets for Getting More Clicks”: Detecting Clickbaits in News Streams Using Article Informality Yahoo Labs</ref><ref >The Ethics of Clickbait "http://wegobusiness.com/the-ethics-of-clickbait/"</ref>
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Clickbait headlines typically aim to "exploit a “curiosity gap” by providing just enough information to make a reader curious, but not enough to satisfy that curiosity".<ref >Curiosity Has the Power to Change Behavior for the Bette "http://www.apa.org/news/press/releases/2016/08/curiosity-behavior.aspx"</ref><ref>Wikipedia: Clickbaits https://en.wikipedia.org/wiki/Clickbait</ref> The readers expectations are higher than what the article actually contains which leads to negative experiences, such as frustruation.<ref name="Clicks">Prakhar Biyani; Kostas Tsioutsiouliklis; John Blackmer (2016). “8 Amazing Secrets for Getting More Clicks”: Detecting Clickbaits in News Streams Using Article Informality Yahoo Labs</ref><ref >The Ethics of Clickbait "http://wegobusiness.com/the-ethics-of-clickbait/"</ref>
 
fake news
 
fake news
 
misinformed population / filter bubbles
 
misinformed population / filter bubbles
 
==References==
 
==References==
 
<references/>
 
<references/>

Revision as of 20:47, 19 February 2017

Clickbait refers to a certain kind of web content advertisement that is designed to entice its readers into clicking an accompanying link, they are usually found in journalism and social media sites in the form of short teaser messages [1] that are designed to attract the attention of people. They encourage people to click on them without giving much information about what the reader is going to find next and are often filled with stories that are fake, opinion-based, with little-to-no research done to back up the author’s points.[2][3][4] Online news media outlets rely heavily on page views to generate ad revenue and use clickbaits to increase the amount of people that visit their page. [5][6] The presence of clickbaits online create many ethical concern as they threaten to clog up social media channels, spreading misinformation, and creating controversy. [7][8]

Examples of Clickbait headlines

Backlash

The presence of clickbaits have been present since the emergence of tabloid journalism [9] and have put pressure on legacy media because of the competition for readers and revenue.[10] There have been many research done in understanding the psychological appeal of clickbaits and methods for detecting them has gained popularity.[11] Social media websites have recognized the issues surrounding clickbaits and have made several attempts to be able to recognize them quickly and prevent them from gaining popularity. Facebook has recognized the problem and has made efforts to improve their newsfeed to "help people find the posts and links from publishers that are most interesting and relevant, and to continue to weed out stories that people frequently tell us are spammy and that they don’t want to see".[2] Systems have been created that detects clickbaits by identifying phrases that are commonly used in clickbait headlines[12] [13] or identifying clickbaits by measuring the amount of time that the user spend on the website after clicking the link [2]. Other scholars have also developed clickbait detection models and extensions to further help decrease how often they appear and achieving an accurate detection 93% of the time.[14][15]

Types

Exaggeration

Title exaggerating the content on the landing page. For example, a headline that reads "Cringeworthy tattoos that will destroy your faith in humanity."[16]

Example:   Cringeworthy tattoos that will destroy your faith in humanity

Teasing

Omission of details from title to build suspense: teasing.[16]

Example:   New twist in Panthers star’s trial could end his season.

Inflammatory

Either phrasing or use of inappropriate/vulgar words.[16]

Example:   Putin Punched at G20 Summit.

Formatting

Overuse of capitalization/punctuation, particularly ALL CAPS or exclamation points.[16]

Example:   EXCLUSIVE: Top-Secret Method allowed a mother to break the world record: 12kg in 4 weeks!

Graphic

Subject matter that is salacious or disturbing or unbelievable[16]

Example:   Donatella Versace plastic surgery overload: Waxy face re-sembles melting candle.

Bait-and-switch

The thing promised/implied from the title is not on the landing page: it requires additional clicks or just missing. [16]

Example:   Beers Americans No Longer Drink.

Ambiguous

Title unclear or confusing to spur curiosity.[16]

Example:   Hands on: Samsung’s iPhone 5 is absolutely beautiful.

Wrong

Just plain incorrect article: factually wrong.[16]

Example:   Scientist Confesses: “Global Warming a $22 Billion Scam/center"

Ethical concerns

Clickbait headlines typically aim to "exploit a “curiosity gap” by providing just enough information to make a reader curious, but not enough to satisfy that curiosity".[17][18] The readers expectations are higher than what the article actually contains which leads to negative experiences, such as frustruation.[16][19] fake news misinformed population / filter bubbles

References

  1. Potthast, Martin; Köpsel, Sebatian; Stein, Benno; Hagen, Matthias (2016). ClickBait Detection Bauhaus-Universität Weimer
  2. 2.0 2.1 2.2 The Washington Post website: "What is ‘click bait’ and why Facebook wants to display less of it" https://www.washingtonpost.com/news/technology/wp/2014/08/26/what-is-click-bait-and-why-facebook-wants-to-display-less-of-it/?utm_term=.eccfff2e28b8
  3. Tech Crunch: "*** is a clickbait "https://techcrunch.com/2016/09/25/wtf-is-clickbait/"
  4. Click Bait Websites and the Age of Misinformation "https://jordandetmers.com/2014/09/11/click-bait-websites-and-the-age-of-misinformation/"
  5. Chakraborty, Abhijnan; Paranjape, Bhargavi; Kakarla, Sourya; Ganguly, Niloy (2016). Stop Clickbait: Detecting and Preventing Clickbaits in Online News Media Cornell University Library
  6. The dirty secrets of clickbait. This post will blow your mind! "https://econsultancy.com/blog/64399-the-dirty-secrets-of-clickbait-this-post-will-blow-your-mind/"
  7. Potthast, Martin; Köpsel, Sebatian; Stein, Benno; Hagen, Matthias (2016). ClickBait Detection Bauhaus-Universität Weimer
  8. Click Bait Websites and the Age of Misinformation "https://jordandetmers.com/2014/09/11/click-bait-websites-and-the-age-of-misinformation/"
  9. Chakraborty, Abhijnan; Paranjape, Bhargavi; Kakarla, Sourya; Ganguly, Niloy (2016). Stop Clickbait: Detecting and Preventing Clickbaits in Online News Media Department of Computer Science and Engineering Indian Institute of Technology Kharagpur, India
  10. PBS website: "Column: Why click-bait will be the death of journalism" http://www.pbs.org/newshour/making-sense/what-you-dont-know-about-click-bait-journalism-could-kill-you
  11. Chakraborty, Abhijnan; Paranjape, Bhargavi; Kakarla, Sourya; Ganguly, Niloy (2016). Stop Clickbait: Detecting and Preventing Clickbaits in Online News Media Department of Computer Science and Engineering Indian Institute of Technology Kharagpur, India
  12. Facebook newsroom website: "News Feed FYI: Further Reducing Clickbait in Feed"http://newsroom.fb.com/news/2016/08/news-feed-fyi-further-reducing-clickbait-in-feed/
  13. engadget: "Facebook is ramping up its fight against clickbait"https://www.engadget.com/2016/08/04/facebook-is-ramping-up-its-fight-against-clickbait/
  14. Potthast, Martin; Köpsel, Sebatian; Stein, Benno; Hagen, Matthias (2016). ClickBait Detection Bauhaus-Universität Weimer
  15. Abhijnan Chakraborty, Bhargavi Paranjape, Sourya Kakarla, Niloy Ganguly (2016). Stop Clickbait: Detecting and preventing clickbaits in online news media IEEE Xplore Digital Library
  16. 16.0 16.1 16.2 16.3 16.4 16.5 16.6 16.7 16.8 Prakhar Biyani; Kostas Tsioutsiouliklis; John Blackmer (2016). “8 Amazing Secrets for Getting More Clicks”: Detecting Clickbaits in News Streams Using Article Informality Yahoo Labs
  17. Curiosity Has the Power to Change Behavior for the Bette "http://www.apa.org/news/press/releases/2016/08/curiosity-behavior.aspx"
  18. Wikipedia: Clickbaits https://en.wikipedia.org/wiki/Clickbait
  19. The Ethics of Clickbait "http://wegobusiness.com/the-ethics-of-clickbait/"