東華大學圖書館 |

語系: 繁體中文

說明(常見問題)

回圖書館首頁

手機版館藏查詢

登入

回首頁

切換: 標籤 | MARC模式 | ISBD

On Factors That Influence User Inter...

Kyanko, Thomas J.

FindBook

Google Book

Amazon

博客來

On Factors That Influence User Interactions with Social Media Spam: Empirical Exploration Based on a Survey and Experiment.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	On Factors That Influence User Interactions with Social Media Spam: Empirical Exploration Based on a Survey and Experiment./
作者:	Kyanko, Thomas J.
出版者:	Ann Arbor : ProQuest Dissertations & Theses, : 2017,
面頁冊數:	77 p.
附註:	Source: Masters Abstracts International, Volume: 57-01.
Contained By:	Masters Abstracts International57-01(E).
標題:	Computer science. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=10682814
ISBN:	9780355517484

On Factors That Influence User Interactions with Social Media Spam: Empirical Exploration Based on a Survey and Experiment.
Kyanko, Thomas J.

On Factors That Influence User Interactions with Social Media Spam: Empirical Exploration Based on a Survey and Experiment. - Ann Arbor : ProQuest Dissertations & Theses, 2017 - 77 p.

Source: Masters Abstracts International, Volume: 57-01.

Thesis (M.S.)--West Virginia University, 2017.

This item is not available from ProQuest Dissertations & Theses.

This thesis explores various factors that influence whether or not users of social media platforms will interact with spam. The research is based on using survey and experimental approaches. The survey looked at several spam related behaviors: ability to identify spam, tendency to interact with spam, and tendency to report spam. In total 256 responses were analyzed, which were collected by an online survey system. Results of the survey show that education about spam did not correlate with changes in behavior, even when users reported that the education had an effect on them. Several other factors, commonly thought to be related to interaction with spam, such as technical background, also showed little correlation to spam related behaviors. It was also found that users tend to have similar behaviors for social media spam and email spam. The experiment involved sending mock spam messages to Facebook, LinkedIn, and Twitter users. 1,200 messages per social media platform were sent. The factors studied were: social media platform, message content, matching the message content to the sending profile, and method of selecting message content. The experimental results showed that overall the highest interaction rate was on Twitter and the lowest was on Facebook. Matching the sender's profile to the content of the messages sent and matching the content of spam to recipient interests did not lead to higher interaction rates than randomly selected messages and sending profiles. Additionally, news related spam distributed on Twitter was most effective in tricking users.

ISBN: 9780355517484Subjects--Topical Terms:

523869
Computer science.

On Factors That Influence User Interactions with Social Media Spam: Empirical Exploration Based on a Survey and Experiment.
LDR:02669nmm a2200325 4500 001 2201452
005 20190429104415.5
008 201008s2017 ||||||||||||||||| ||eng d
020 $a 9780355517484
035 $a (MiAaPQ)AAI10682814
035 $a (MiAaPQ)wvumasters:10474
035 $a AAI10682814
040 $a MiAaPQ $c MiAaPQ
100 1 $a Kyanko, Thomas J. $3 3428174
245 1 0 $a On Factors That Influence User Interactions with Social Media Spam: Empirical Exploration Based on a Survey and Experiment.
260 1 $a Ann Arbor : $b ProQuest Dissertations & Theses, $c 2017
300 $a 77 p.
500 $a Source: Masters Abstracts International, Volume: 57-01.
500 $a Adviser: Katerina Goseva-Popstojanova.
502 $a Thesis (M.S.)--West Virginia University, 2017.
506 $a This item is not available from ProQuest Dissertations & Theses.
520 $a This thesis explores various factors that influence whether or not users of social media platforms will interact with spam. The research is based on using survey and experimental approaches. The survey looked at several spam related behaviors: ability to identify spam, tendency to interact with spam, and tendency to report spam. In total 256 responses were analyzed, which were collected by an online survey system. Results of the survey show that education about spam did not correlate with changes in behavior, even when users reported that the education had an effect on them. Several other factors, commonly thought to be related to interaction with spam, such as technical background, also showed little correlation to spam related behaviors. It was also found that users tend to have similar behaviors for social media spam and email spam. The experiment involved sending mock spam messages to Facebook, LinkedIn, and Twitter users. 1,200 messages per social media platform were sent. The factors studied were: social media platform, message content, matching the message content to the sending profile, and method of selecting message content. The experimental results showed that overall the highest interaction rate was on Twitter and the lowest was on Facebook. Matching the sender's profile to the content of the messages sent and matching the content of spam to recipient interests did not lead to higher interaction rates than randomly selected messages and sending profiles. Additionally, news related spam distributed on Twitter was most effective in tricking users.
590 $a School code: 0256.
650 4 $a Computer science. $3 523869
650 4 $a Web studies. $3 2122754
650 4 $a Multimedia communications. $3 590562
690 $a 0984
690 $a 0646
690 $a 0558
710 2 $a West Virginia University. $b Engineering and Mineral Resources. $3 3184295
773 0 $t Masters Abstracts International $g 57-01(E).
790 $a 0256
791 $a M.S.
792 $a 2017
793 $a English
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=10682814