Quantifying the Trustworthiness of Social Media Content: Content Analysis for the Social Web
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1
Quantifying the Trustworthiness of Social Media Content
EN PB NWISBN: 9783838328713 bzw. 383832871X, in Englisch, LAP Lambert Acad. Publ. Taschenbuch, neu.
The growing popularity of social media in recent years has resulted in the creation of an enormous amount of user-generated content. A significant portion of this information is useful and has proven to be a great source of knowledge. However, since much of this information has been contributed by strangers with little or no apparent reputation to speak of, there is no easy way to detect whether the content is trustworthy. Search engines are the gateways to knowledge but search relevance cannot guarantee that the content in the search results is trustworthy. A casual observer might not be able to differentiate between the trustworthy and the untrustworthy content. This book is focused on studying the problem of quantifying the value of such shared content with respect to its trustworthiness. In particular, the focus is on shared health content as the negative impact of acting on untrustworthy content is high in this domain. Health content from two social media applications, Wikipedia and Daily Strength, is used for this research. The same approach is extended to the related problem of quantifying the usefulness or utility of content shared in response to a specific request.
2
Quantifying the Trustworthiness of Social Media Content
DE NWISBN: 9783838328713 bzw. 383832871X, in Deutsch, neu.
Lieferung aus: Vereinigtes Königreich Großbritannien und Nordirland, 11, zzgl. Versandkosten.
The growing popularity of social media in recent years has resulted in the creation of an enormous amount of user-generated content. A significant portion of this information is useful and has proven to be a great source of knowledge. However, since much of this information has been contributed by strangers with little or no apparent reputation to speak of, there is no easy way to detect whether the content is trustworthy. Search engines are the gateways to knowledge but search relevance cannot guarantee that the content in the search results is trustworthy. A casual observer might not be able to differentiate between the trustworthy and the untrustworthy content. This book is focused on studying the problem of quantifying the value of such shared content with respect to its trustworthiness. In particular, the focus is on shared health content as the negative impact of acting on untrustworthy content is high in this domain. Health content from two social media applications, Wikipedia and Daily Strength, is used for this research. The same approach is extended to the related problem of quantifying the usefulness or utility of content shared in response to a specific request.
The growing popularity of social media in recent years has resulted in the creation of an enormous amount of user-generated content. A significant portion of this information is useful and has proven to be a great source of knowledge. However, since much of this information has been contributed by strangers with little or no apparent reputation to speak of, there is no easy way to detect whether the content is trustworthy. Search engines are the gateways to knowledge but search relevance cannot guarantee that the content in the search results is trustworthy. A casual observer might not be able to differentiate between the trustworthy and the untrustworthy content. This book is focused on studying the problem of quantifying the value of such shared content with respect to its trustworthiness. In particular, the focus is on shared health content as the negative impact of acting on untrustworthy content is high in this domain. Health content from two social media applications, Wikipedia and Daily Strength, is used for this research. The same approach is extended to the related problem of quantifying the usefulness or utility of content shared in response to a specific request.
3
Quantifying the Trustworthiness of Social Media Content - Content Analysis for the Social Web
DE PB NWISBN: 9783838328713 bzw. 383832871X, in Deutsch, LAP Lambert Acad. Publ. Taschenbuch, neu.
Lieferung aus: Deutschland, Versandkostenfrei.
Quantifying the Trustworthiness of Social Media Content: The growing popularity of social media in recent years has resulted in the creation of an enormous amount of user-generated content. A significant portion of this information is useful and has proven to be a great source of knowledge. However, since much of this information has been contributed by strangers with little or no apparent reputation to speak of, there is no easy way to detect whether the content is trustworthy. Search engines are the gateways to knowledge but search relevance cannot guarantee that the content in the search results is trustworthy. A casual observer might not be able to differentiate between the trustworthy and the untrustworthy content. This book is focused on studying the problem of quantifying the value of such shared content with respect to its trustworthiness. In particular, the focus is on shared health content as the negative impact of acting on untrustworthy content is high in this domain. Health content from two social media applications, Wikipedia and Daily Strength, is used for this research. The same approach is extended to the related problem of quantifying the usefulness or utility of content shared in response to a specific request. Englisch, Taschenbuch.
Quantifying the Trustworthiness of Social Media Content: The growing popularity of social media in recent years has resulted in the creation of an enormous amount of user-generated content. A significant portion of this information is useful and has proven to be a great source of knowledge. However, since much of this information has been contributed by strangers with little or no apparent reputation to speak of, there is no easy way to detect whether the content is trustworthy. Search engines are the gateways to knowledge but search relevance cannot guarantee that the content in the search results is trustworthy. A casual observer might not be able to differentiate between the trustworthy and the untrustworthy content. This book is focused on studying the problem of quantifying the value of such shared content with respect to its trustworthiness. In particular, the focus is on shared health content as the negative impact of acting on untrustworthy content is high in this domain. Health content from two social media applications, Wikipedia and Daily Strength, is used for this research. The same approach is extended to the related problem of quantifying the usefulness or utility of content shared in response to a specific request. Englisch, Taschenbuch.
4
Quantifying the Trustworthiness of Social Media Content: Content Analysis for the Social Web (2010)
EN PB NWISBN: 9783838328713 bzw. 383832871X, in Englisch, 168 Seiten, LAP Lambert Academic Publishing, Taschenbuch, neu.
New from: $55.00 (4 Offers)
Used from: $469.21 (1 Offers)
Show more 5 Offers at Amazon.com
Lieferung aus: Vereinigte Staaten von Amerika, Usually ships in 24 hours.
Von Händler/Antiquariat, Amazon.com.
The growing popularity of social media in recent years has resulted in the creation of an enormous amount of user-generated content. A significant portion of this information is useful and has proven to be a great source of knowledge. However, since much of this information has been contributed by strangers with little or no apparent reputation to speak of, there is no easy way to detect whether the content is trustworthy. Search engines are the gateways to knowledge but search relevance cannot guarantee that the content in the search results is trustworthy. A casual observer might not be able to differentiate between the trustworthy and the untrustworthy content. This book is focused on studying the problem of quantifying the value of such shared content with respect to its trustworthiness. In particular, the focus is on shared health content as the negative impact of acting on untrustworthy content is high in this domain. Health content from two social media applications, Wikipedia and Daily Strength, is used for this research. The same approach is extended to the related problem of quantifying the usefulness or utility of content shared in response to a specific request. Paperback, Label: LAP Lambert Academic Publishing, LAP Lambert Academic Publishing, Product group: Book, Published: 2010-02-02, Studio: LAP Lambert Academic Publishing, Sales rank: 14207529.
Von Händler/Antiquariat, Amazon.com.
The growing popularity of social media in recent years has resulted in the creation of an enormous amount of user-generated content. A significant portion of this information is useful and has proven to be a great source of knowledge. However, since much of this information has been contributed by strangers with little or no apparent reputation to speak of, there is no easy way to detect whether the content is trustworthy. Search engines are the gateways to knowledge but search relevance cannot guarantee that the content in the search results is trustworthy. A casual observer might not be able to differentiate between the trustworthy and the untrustworthy content. This book is focused on studying the problem of quantifying the value of such shared content with respect to its trustworthiness. In particular, the focus is on shared health content as the negative impact of acting on untrustworthy content is high in this domain. Health content from two social media applications, Wikipedia and Daily Strength, is used for this research. The same approach is extended to the related problem of quantifying the usefulness or utility of content shared in response to a specific request. Paperback, Label: LAP Lambert Academic Publishing, LAP Lambert Academic Publishing, Product group: Book, Published: 2010-02-02, Studio: LAP Lambert Academic Publishing, Sales rank: 14207529.
5
Quantifying the Trustworthiness of Social Media Content: Content Analysis for the Social Web (2010)
EN PB NWISBN: 9783838328713 bzw. 383832871X, in Englisch, 168 Seiten, LAP Lambert Academic Publishing, Taschenbuch, neu.
Lieferung aus: Vereinigte Staaten von Amerika, Usually ships in 1-2 business days.
Von Händler/Antiquariat, stellarenah.
The growing popularity of social media in recent years has resulted in the creation of an enormous amount of user-generated content. A significant portion of this information is useful and has proven to be a great source of knowledge. However, since much of this information has been contributed by strangers with little or no apparent reputation to speak of, there is no easy way to detect whether the content is trustworthy. Search engines are the gateways to knowledge but search relevance cannot guarantee that the content in the search results is trustworthy. A casual observer might not be able to differentiate between the trustworthy and the untrustworthy content. This book is focused on studying the problem of quantifying the value of such shared content with respect to its trustworthiness. In particular, the focus is on shared health content as the negative impact of acting on untrustworthy content is high in this domain. Health content from two social media applications, Wikipedia and Daily Strength, is used for this research. The same approach is extended to the related problem of quantifying the usefulness or utility of content shared in response to a specific request. Paperback, Label: LAP Lambert Academic Publishing, LAP Lambert Academic Publishing, Product group: Book, Published: 2010-02-02, Studio: LAP Lambert Academic Publishing, Sales rank: 14207529.
Von Händler/Antiquariat, stellarenah.
The growing popularity of social media in recent years has resulted in the creation of an enormous amount of user-generated content. A significant portion of this information is useful and has proven to be a great source of knowledge. However, since much of this information has been contributed by strangers with little or no apparent reputation to speak of, there is no easy way to detect whether the content is trustworthy. Search engines are the gateways to knowledge but search relevance cannot guarantee that the content in the search results is trustworthy. A casual observer might not be able to differentiate between the trustworthy and the untrustworthy content. This book is focused on studying the problem of quantifying the value of such shared content with respect to its trustworthiness. In particular, the focus is on shared health content as the negative impact of acting on untrustworthy content is high in this domain. Health content from two social media applications, Wikipedia and Daily Strength, is used for this research. The same approach is extended to the related problem of quantifying the usefulness or utility of content shared in response to a specific request. Paperback, Label: LAP Lambert Academic Publishing, LAP Lambert Academic Publishing, Product group: Book, Published: 2010-02-02, Studio: LAP Lambert Academic Publishing, Sales rank: 14207529.
7
Quantifying the Trustworthiness (2010)
DE PB NWISBN: 9783838328713 bzw. 383832871X, in Deutsch, Taschenbuch, neu.
Lieferung aus: Deutschland, Next Day, Versandkostenfrei.
Die Beschreibung dieses Angebotes ist von geringer Qualität oder in einer Fremdsprache. Trotzdem anzeigen
Die Beschreibung dieses Angebotes ist von geringer Qualität oder in einer Fremdsprache. Trotzdem anzeigen
8
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Quantifying the Trustworthiness of Social Media Content: Content Analysis for the Social Web (2010)
DE PB NWISBN: 9783838328713 bzw. 383832871X, in Deutsch, LAP Lambert Academic Publishing, Taschenbuch, neu.
Lieferung aus: Vereinigte Staaten von Amerika, Free shipping.
Von Händler/Antiquariat, Irish Booksellers [57531671], Rumford, ME, U.S.A.
Von Händler/Antiquariat, Irish Booksellers [57531671], Rumford, ME, U.S.A.
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