Enhancing directed content sharing on the web
To find interesting, personally relevant web content, people rely on friends and colleagues to pass links along as they encounter them. In this paper, we study and augment link-sharing via e-mail, the most popular means of sharing web content today. Armed with survey data indicating that active shar...
| Main Authors: | , , , |
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| Other Authors: | |
| Format: | Article |
| Language: | en_US |
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Association for Computing Machinery
2011
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| Online Access: | http://hdl.handle.net/1721.1/62029 https://orcid.org/0000-0002-0024-5847 https://orcid.org/0000-0002-0442-691X |
| _version_ | 1826188628417576960 |
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| author | Bernstein, Michael S. Marcus, Adam Karger, David R. Miller, Robert C. |
| author2 | Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory |
| author_facet | Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory Bernstein, Michael S. Marcus, Adam Karger, David R. Miller, Robert C. |
| author_sort | Bernstein, Michael S. |
| collection | MIT |
| description | To find interesting, personally relevant web content, people rely on friends and colleagues to pass links along as they encounter them. In this paper, we study and augment link-sharing via e-mail, the most popular means of sharing web content today. Armed with survey data indicating that active sharers of novel web content are often those that actively seek it out, we developed FeedMe, a plug-in for Google Reader that makes directed sharing of content a more salient part of the user experience. FeedMe recommends friends who may be interested in seeing content that the user is viewing, provides information on what the recipient has seen and how many emails they have received recently, and gives recipients the opportunity to provide lightweight feedback when they appreciate shared content. FeedMe introduces a novel design space within mixed-initiative social recommenders: friends who know the user voluntarily vet the material on the user's behalf. We performed a two-week field experiment (N=60) and found that FeedMe made it easier and more enjoyable to share content that recipients appreciated and would not have found otherwise. |
| first_indexed | 2024-09-23T08:02:18Z |
| format | Article |
| id | mit-1721.1/62029 |
| institution | Massachusetts Institute of Technology |
| language | en_US |
| last_indexed | 2024-09-23T08:02:18Z |
| publishDate | 2011 |
| publisher | Association for Computing Machinery |
| record_format | dspace |
| spelling | mit-1721.1/620292022-09-30T01:52:44Z Enhancing directed content sharing on the web Bernstein, Michael S. Marcus, Adam Karger, David R. Miller, Robert C. Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science Karger, David R. Bernstein, Michael S. Marcus, Adam Karger, David R. Miller, Robert C. To find interesting, personally relevant web content, people rely on friends and colleagues to pass links along as they encounter them. In this paper, we study and augment link-sharing via e-mail, the most popular means of sharing web content today. Armed with survey data indicating that active sharers of novel web content are often those that actively seek it out, we developed FeedMe, a plug-in for Google Reader that makes directed sharing of content a more salient part of the user experience. FeedMe recommends friends who may be interested in seeing content that the user is viewing, provides information on what the recipient has seen and how many emails they have received recently, and gives recipients the opportunity to provide lightweight feedback when they appreciate shared content. FeedMe introduces a novel design space within mixed-initiative social recommenders: friends who know the user voluntarily vet the material on the user's behalf. We performed a two-week field experiment (N=60) and found that FeedMe made it easier and more enjoyable to share content that recipients appreciated and would not have found otherwise. 2011-04-04T15:06:01Z 2011-04-04T15:06:01Z 2010-04 Article http://purl.org/eprint/type/ConferencePaper 978-1-60558-929-9 http://hdl.handle.net/1721.1/62029 Bernstein, Michael S. et al. “Enhancing directed content sharing on the web.” Proceedings of the 28th international conference on Human factors in computing systems. Atlanta, Georgia, USA: ACM, 2010. 971-980. https://orcid.org/0000-0002-0024-5847 https://orcid.org/0000-0002-0442-691X en_US http://dx.doi.org/10.1145/1753326.1753470 Proceedings of the 28th International Conference on Human Factors in Computing Systems (CHI '10) Creative Commons Attribution-Noncommercial-Share Alike 3.0 http://creativecommons.org/licenses/by-nc-sa/3.0/ application/pdf Association for Computing Machinery MIT web domain |
| spellingShingle | Bernstein, Michael S. Marcus, Adam Karger, David R. Miller, Robert C. Enhancing directed content sharing on the web |
| title | Enhancing directed content sharing on the web |
| title_full | Enhancing directed content sharing on the web |
| title_fullStr | Enhancing directed content sharing on the web |
| title_full_unstemmed | Enhancing directed content sharing on the web |
| title_short | Enhancing directed content sharing on the web |
| title_sort | enhancing directed content sharing on the web |
| url | http://hdl.handle.net/1721.1/62029 https://orcid.org/0000-0002-0024-5847 https://orcid.org/0000-0002-0442-691X |
| work_keys_str_mv | AT bernsteinmichaels enhancingdirectedcontentsharingontheweb AT marcusadam enhancingdirectedcontentsharingontheweb AT kargerdavidr enhancingdirectedcontentsharingontheweb AT millerrobertc enhancingdirectedcontentsharingontheweb |