Trust in social media:
Social media greatly enables people to participate in online activities and shatters the barrier for online users to create and share information at any place at any time. However, the explosion of user-generated content poses novel challenges for online users to find relevant information, or, in ot...
Saved in:
| Main Authors: | , |
|---|---|
| Format: | Book |
| Language: | English |
| Published: |
San Rafael, California
Morgan & Claypool Publishers
[2015]
|
| Series: | Synthesis lectures on information security, privacy, and trust
13 |
| Subjects: | |
| Summary: | Social media greatly enables people to participate in online activities and shatters the barrier for online users to create and share information at any place at any time. However, the explosion of user-generated content poses novel challenges for online users to find relevant information, or, in other words, exacerbates the information overload problem. On the other hand, the quality of user-generated content can vary dramatically from excellence to abuse or spam, resulting in a problem of information credibility. The study and understanding of trust can lead to an effective approach to addressing both information overload and credibility problems. Trust refers to a relationship between a trustor (the subject that trusts a target entity) and a trustee (the entity that is trusted). In the context of social media, trust provides evidence about with whom we can trust to share information and from whom we can accept information without additional verification. |
| Item Description: | Part of: Synthesis digital library of engineering and computer science |
| Physical Description: | xiii, 115 pages illustrations |
| ISBN: | 9781627054041 |
Staff View
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| 490 | 1 | |a Synthesis lectures on information security, privacy, and trust |v 13 | |
| 500 | |a Part of: Synthesis digital library of engineering and computer science | ||
| 505 | 8 | |a Includes bibliographical references (pages 99-113) | |
| 505 | 8 | |a 1. Introduction -- 1.1 Definitions of trust -- 1.1.1 Trust in psychology -- 1.1.2 Trust in sociology -- 1.1.3 Trust in economics -- 1.1.4 Trust in management -- 1.1.5 An interdisciplinary view of trust definitions -- 1.1.6 Discussions -- 1.2 Examples of online trust systems -- 1.2.1 E-commerce sites -- 1.2.2 Expert sites -- 1.2.3 Review sites -- 1.2.4 News sites -- 1.3 Computational tasks for trust -- 1.3.1 Representing trust -- 1.3.2 Predicting trust -- 1.3.3 Applying trust -- 1.3.4 Incorporating distrust -- 1.4 Summary -- | |
| 505 | 8 | |a 2. Representing trust -- 2.1 Properties of trust -- 2.1.1 Transitivity -- 2.1.2 Asymmetry -- 2.1.3 Composability -- 2.1.4 Correlation with similarity -- 2.1.5 Context dependence -- 2.1.6 Dynamic -- 2.2 Trust representations -- 2.2.1 Probabilistic vs. gradual representations -- 2.2.2 Single-dimensional vs. multi-dimensional representations -- 2.3 Recent advances of trust representations -- 2.3.1 Dimension correlation -- 2.3.2 Temporal information -- 2.3.3 Trust, untrust, and distrust -- | |
| 505 | 8 | |a 3. Predicting trust -- 3.1 Basic concepts -- 3.1.1 Definition -- 3.1.2 Classifications of trust metrics -- 3.1.3 A unified classification of trust metrics -- 3.2 Algorithms of trust metrics -- 3.2.1 Global trust metrics -- 3.2.2 Local trust metricS -- 3.3 Evaluation of predicting trust -- 3.3.1 Datasets for predicting trust -- 3.3.2 Ranking-based evaluation -- 3.3.3 RMSE evaluation -- 3.3.4 Leave-one-out cross-validation evaluation -- 3.3.5 F-measure evaluation -- 3.4 Recent advances in predicting trust -- 3.4.1 Predicting multi-dimensional trust -- 3.4.2 Predicting trust with temporal dynamics -- 3.4.3 Predicting trust with social theories -- | |
| 505 | 8 | |a 4. Applying trust -- 4.1 Traditional recommender systems -- 4.1.1 Content-based recommender systems -- 4.1.2 Collaborative filtering-based recommender systems -- 4.1.3 Hybrid recommender systems -- 4.2 Trust-aware recommender systems -- 4.2.1 Problem statement -- 4.2.2 Opportunities from trust information -- 4.3 Existing trust-aware recommender systems -- 4.3.1 Memory-based trust-aware recommender systems -- 4.3.2 Model-based trust-aware recommender systems -- 4.4 Performance evaluation -- 4.4.1 Datasets -- 4.4.2 Evaluation metrics -- 4.5 Recent advances in trust-aware recommender systems -- 4.5.1 Global trust in recommendation -- 4.5.2 Multi-faceted trust in recommendation -- 4.5.3 Distrust in recommendation -- | |
| 505 | 8 | |a 5. Incorporating distrust -- 5.1 Incorporating distrust into trust representations -- 5.1.1 Understandings from social sciences -- 5.1.2 An computational understanding in social media -- 5.1.3 Distrust in trust representations -- 5.1.4 Social theories for trust/distrust networks -- 5.2 Incorporating distrust into predicting trust -- 5.2.1 Distrust in global trust metrics -- 5.2.2 Distrust in local trust metrics -- 5.3 Incorporating distrust into trust-aware recommender systems -- 5.3.1 Memory-based methods -- 5.3.2 Model-based methods -- 5.4 Recent advances in incorporating distrust -- 5.4.1 Sign prediction -- 5.4.2 Distrust prediction -- | |
| 505 | 8 | |a 6. Epilogue -- 6.1 Future directions in predicting trust -- 6.2 Future directions in applying trust -- 6.3 Future directions in incorporating distrust -- Bibliography -- Authors' biographies | |
| 520 | |a Social media greatly enables people to participate in online activities and shatters the barrier for online users to create and share information at any place at any time. However, the explosion of user-generated content poses novel challenges for online users to find relevant information, or, in other words, exacerbates the information overload problem. On the other hand, the quality of user-generated content can vary dramatically from excellence to abuse or spam, resulting in a problem of information credibility. The study and understanding of trust can lead to an effective approach to addressing both information overload and credibility problems. Trust refers to a relationship between a trustor (the subject that trusts a target entity) and a trustee (the entity that is trusted). In the context of social media, trust provides evidence about with whom we can trust to share information and from whom we can accept information without additional verification. | ||
| 650 | 4 | |a trust in social media | |
| 650 | 4 | |a representing trust | |
| 650 | 4 | |a predicting trust | |
| 650 | 4 | |a applying trust | |
| 650 | 4 | |a incorporating distrust | |
| 650 | 4 | |a Social media / Moral and ethical aspects | |
| 650 | 4 | |a Ethik | |
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Record in the Search Index
| _version_ | 1804175734121431040 |
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| any_adam_object | |
| author | Tang, Jiliang Liu, Huan 1958- |
| author_GND | (DE-588)138749736 |
| author_facet | Tang, Jiliang Liu, Huan 1958- |
| author_role | aut aut |
| author_sort | Tang, Jiliang |
| author_variant | j t jt h l hl |
| building | Verbundindex |
| bvnumber | BV043225466 |
| contents | Includes bibliographical references (pages 99-113) 1. Introduction -- 1.1 Definitions of trust -- 1.1.1 Trust in psychology -- 1.1.2 Trust in sociology -- 1.1.3 Trust in economics -- 1.1.4 Trust in management -- 1.1.5 An interdisciplinary view of trust definitions -- 1.1.6 Discussions -- 1.2 Examples of online trust systems -- 1.2.1 E-commerce sites -- 1.2.2 Expert sites -- 1.2.3 Review sites -- 1.2.4 News sites -- 1.3 Computational tasks for trust -- 1.3.1 Representing trust -- 1.3.2 Predicting trust -- 1.3.3 Applying trust -- 1.3.4 Incorporating distrust -- 1.4 Summary -- 2. Representing trust -- 2.1 Properties of trust -- 2.1.1 Transitivity -- 2.1.2 Asymmetry -- 2.1.3 Composability -- 2.1.4 Correlation with similarity -- 2.1.5 Context dependence -- 2.1.6 Dynamic -- 2.2 Trust representations -- 2.2.1 Probabilistic vs. gradual representations -- 2.2.2 Single-dimensional vs. multi-dimensional representations -- 2.3 Recent advances of trust representations -- 2.3.1 Dimension correlation -- 2.3.2 Temporal information -- 2.3.3 Trust, untrust, and distrust -- 3. Predicting trust -- 3.1 Basic concepts -- 3.1.1 Definition -- 3.1.2 Classifications of trust metrics -- 3.1.3 A unified classification of trust metrics -- 3.2 Algorithms of trust metrics -- 3.2.1 Global trust metrics -- 3.2.2 Local trust metricS -- 3.3 Evaluation of predicting trust -- 3.3.1 Datasets for predicting trust -- 3.3.2 Ranking-based evaluation -- 3.3.3 RMSE evaluation -- 3.3.4 Leave-one-out cross-validation evaluation -- 3.3.5 F-measure evaluation -- 3.4 Recent advances in predicting trust -- 3.4.1 Predicting multi-dimensional trust -- 3.4.2 Predicting trust with temporal dynamics -- 3.4.3 Predicting trust with social theories -- 4. Applying trust -- 4.1 Traditional recommender systems -- 4.1.1 Content-based recommender systems -- 4.1.2 Collaborative filtering-based recommender systems -- 4.1.3 Hybrid recommender systems -- 4.2 Trust-aware recommender systems -- 4.2.1 Problem statement -- 4.2.2 Opportunities from trust information -- 4.3 Existing trust-aware recommender systems -- 4.3.1 Memory-based trust-aware recommender systems -- 4.3.2 Model-based trust-aware recommender systems -- 4.4 Performance evaluation -- 4.4.1 Datasets -- 4.4.2 Evaluation metrics -- 4.5 Recent advances in trust-aware recommender systems -- 4.5.1 Global trust in recommendation -- 4.5.2 Multi-faceted trust in recommendation -- 4.5.3 Distrust in recommendation -- 5. Incorporating distrust -- 5.1 Incorporating distrust into trust representations -- 5.1.1 Understandings from social sciences -- 5.1.2 An computational understanding in social media -- 5.1.3 Distrust in trust representations -- 5.1.4 Social theories for trust/distrust networks -- 5.2 Incorporating distrust into predicting trust -- 5.2.1 Distrust in global trust metrics -- 5.2.2 Distrust in local trust metrics -- 5.3 Incorporating distrust into trust-aware recommender systems -- 5.3.1 Memory-based methods -- 5.3.2 Model-based methods -- 5.4 Recent advances in incorporating distrust -- 5.4.1 Sign prediction -- 5.4.2 Distrust prediction -- 6. Epilogue -- 6.1 Future directions in predicting trust -- 6.2 Future directions in applying trust -- 6.3 Future directions in incorporating distrust -- Bibliography -- Authors' biographies |
| ctrlnum | (OCoLC)952202160 (DE-599)BVBBV043225466 |
| format | Book |
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| id | DE-604.BV043225466 |
| illustrated | Illustrated |
| indexdate | 2024-07-10T07:20:59Z |
| institution | BVB |
| isbn | 9781627054041 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-028648240 |
| oclc_num | 952202160 |
| open_access_boolean | |
| owner | DE-12 |
| owner_facet | DE-12 |
| physical | xiii, 115 pages illustrations |
| publishDate | 2015 |
| publishDateSearch | 2015 |
| publishDateSort | 2015 |
| publisher | Morgan & Claypool Publishers |
| record_format | marc |
| series | Synthesis lectures on information security, privacy, and trust |
| series2 | Synthesis lectures on information security, privacy, and trust |
| spelling | Tang, Jiliang Verfasser aut Trust in social media Jiliang Tang and Huan Liu, Arizona State University San Rafael, California Morgan & Claypool Publishers [2015] © 2015 xiii, 115 pages illustrations txt rdacontent n rdamedia nc rdacarrier Synthesis lectures on information security, privacy, and trust 13 Part of: Synthesis digital library of engineering and computer science Includes bibliographical references (pages 99-113) 1. Introduction -- 1.1 Definitions of trust -- 1.1.1 Trust in psychology -- 1.1.2 Trust in sociology -- 1.1.3 Trust in economics -- 1.1.4 Trust in management -- 1.1.5 An interdisciplinary view of trust definitions -- 1.1.6 Discussions -- 1.2 Examples of online trust systems -- 1.2.1 E-commerce sites -- 1.2.2 Expert sites -- 1.2.3 Review sites -- 1.2.4 News sites -- 1.3 Computational tasks for trust -- 1.3.1 Representing trust -- 1.3.2 Predicting trust -- 1.3.3 Applying trust -- 1.3.4 Incorporating distrust -- 1.4 Summary -- 2. Representing trust -- 2.1 Properties of trust -- 2.1.1 Transitivity -- 2.1.2 Asymmetry -- 2.1.3 Composability -- 2.1.4 Correlation with similarity -- 2.1.5 Context dependence -- 2.1.6 Dynamic -- 2.2 Trust representations -- 2.2.1 Probabilistic vs. gradual representations -- 2.2.2 Single-dimensional vs. multi-dimensional representations -- 2.3 Recent advances of trust representations -- 2.3.1 Dimension correlation -- 2.3.2 Temporal information -- 2.3.3 Trust, untrust, and distrust -- 3. Predicting trust -- 3.1 Basic concepts -- 3.1.1 Definition -- 3.1.2 Classifications of trust metrics -- 3.1.3 A unified classification of trust metrics -- 3.2 Algorithms of trust metrics -- 3.2.1 Global trust metrics -- 3.2.2 Local trust metricS -- 3.3 Evaluation of predicting trust -- 3.3.1 Datasets for predicting trust -- 3.3.2 Ranking-based evaluation -- 3.3.3 RMSE evaluation -- 3.3.4 Leave-one-out cross-validation evaluation -- 3.3.5 F-measure evaluation -- 3.4 Recent advances in predicting trust -- 3.4.1 Predicting multi-dimensional trust -- 3.4.2 Predicting trust with temporal dynamics -- 3.4.3 Predicting trust with social theories -- 4. Applying trust -- 4.1 Traditional recommender systems -- 4.1.1 Content-based recommender systems -- 4.1.2 Collaborative filtering-based recommender systems -- 4.1.3 Hybrid recommender systems -- 4.2 Trust-aware recommender systems -- 4.2.1 Problem statement -- 4.2.2 Opportunities from trust information -- 4.3 Existing trust-aware recommender systems -- 4.3.1 Memory-based trust-aware recommender systems -- 4.3.2 Model-based trust-aware recommender systems -- 4.4 Performance evaluation -- 4.4.1 Datasets -- 4.4.2 Evaluation metrics -- 4.5 Recent advances in trust-aware recommender systems -- 4.5.1 Global trust in recommendation -- 4.5.2 Multi-faceted trust in recommendation -- 4.5.3 Distrust in recommendation -- 5. Incorporating distrust -- 5.1 Incorporating distrust into trust representations -- 5.1.1 Understandings from social sciences -- 5.1.2 An computational understanding in social media -- 5.1.3 Distrust in trust representations -- 5.1.4 Social theories for trust/distrust networks -- 5.2 Incorporating distrust into predicting trust -- 5.2.1 Distrust in global trust metrics -- 5.2.2 Distrust in local trust metrics -- 5.3 Incorporating distrust into trust-aware recommender systems -- 5.3.1 Memory-based methods -- 5.3.2 Model-based methods -- 5.4 Recent advances in incorporating distrust -- 5.4.1 Sign prediction -- 5.4.2 Distrust prediction -- 6. Epilogue -- 6.1 Future directions in predicting trust -- 6.2 Future directions in applying trust -- 6.3 Future directions in incorporating distrust -- Bibliography -- Authors' biographies Social media greatly enables people to participate in online activities and shatters the barrier for online users to create and share information at any place at any time. However, the explosion of user-generated content poses novel challenges for online users to find relevant information, or, in other words, exacerbates the information overload problem. On the other hand, the quality of user-generated content can vary dramatically from excellence to abuse or spam, resulting in a problem of information credibility. The study and understanding of trust can lead to an effective approach to addressing both information overload and credibility problems. Trust refers to a relationship between a trustor (the subject that trusts a target entity) and a trustee (the entity that is trusted). In the context of social media, trust provides evidence about with whom we can trust to share information and from whom we can accept information without additional verification. trust in social media representing trust predicting trust applying trust incorporating distrust Social media / Moral and ethical aspects Ethik Social Media (DE-588)4639271-3 gnd rswk-swf Vertrauen (DE-588)4063290-8 gnd rswk-swf Ethik (DE-588)4015602-3 gnd rswk-swf Glaubwürdigkeit (DE-588)4157500-3 gnd rswk-swf Social Media (DE-588)4639271-3 s Vertrauen (DE-588)4063290-8 s Ethik (DE-588)4015602-3 s Glaubwürdigkeit (DE-588)4157500-3 s DE-604 Liu, Huan 1958- Verfasser (DE-588)138749736 aut Synthesis lectures on information security, privacy, and trust 13 (DE-604)BV041544544 13 |
| spellingShingle | Tang, Jiliang Liu, Huan 1958- Trust in social media Synthesis lectures on information security, privacy, and trust Includes bibliographical references (pages 99-113) 1. Introduction -- 1.1 Definitions of trust -- 1.1.1 Trust in psychology -- 1.1.2 Trust in sociology -- 1.1.3 Trust in economics -- 1.1.4 Trust in management -- 1.1.5 An interdisciplinary view of trust definitions -- 1.1.6 Discussions -- 1.2 Examples of online trust systems -- 1.2.1 E-commerce sites -- 1.2.2 Expert sites -- 1.2.3 Review sites -- 1.2.4 News sites -- 1.3 Computational tasks for trust -- 1.3.1 Representing trust -- 1.3.2 Predicting trust -- 1.3.3 Applying trust -- 1.3.4 Incorporating distrust -- 1.4 Summary -- 2. Representing trust -- 2.1 Properties of trust -- 2.1.1 Transitivity -- 2.1.2 Asymmetry -- 2.1.3 Composability -- 2.1.4 Correlation with similarity -- 2.1.5 Context dependence -- 2.1.6 Dynamic -- 2.2 Trust representations -- 2.2.1 Probabilistic vs. gradual representations -- 2.2.2 Single-dimensional vs. multi-dimensional representations -- 2.3 Recent advances of trust representations -- 2.3.1 Dimension correlation -- 2.3.2 Temporal information -- 2.3.3 Trust, untrust, and distrust -- 3. Predicting trust -- 3.1 Basic concepts -- 3.1.1 Definition -- 3.1.2 Classifications of trust metrics -- 3.1.3 A unified classification of trust metrics -- 3.2 Algorithms of trust metrics -- 3.2.1 Global trust metrics -- 3.2.2 Local trust metricS -- 3.3 Evaluation of predicting trust -- 3.3.1 Datasets for predicting trust -- 3.3.2 Ranking-based evaluation -- 3.3.3 RMSE evaluation -- 3.3.4 Leave-one-out cross-validation evaluation -- 3.3.5 F-measure evaluation -- 3.4 Recent advances in predicting trust -- 3.4.1 Predicting multi-dimensional trust -- 3.4.2 Predicting trust with temporal dynamics -- 3.4.3 Predicting trust with social theories -- 4. Applying trust -- 4.1 Traditional recommender systems -- 4.1.1 Content-based recommender systems -- 4.1.2 Collaborative filtering-based recommender systems -- 4.1.3 Hybrid recommender systems -- 4.2 Trust-aware recommender systems -- 4.2.1 Problem statement -- 4.2.2 Opportunities from trust information -- 4.3 Existing trust-aware recommender systems -- 4.3.1 Memory-based trust-aware recommender systems -- 4.3.2 Model-based trust-aware recommender systems -- 4.4 Performance evaluation -- 4.4.1 Datasets -- 4.4.2 Evaluation metrics -- 4.5 Recent advances in trust-aware recommender systems -- 4.5.1 Global trust in recommendation -- 4.5.2 Multi-faceted trust in recommendation -- 4.5.3 Distrust in recommendation -- 5. Incorporating distrust -- 5.1 Incorporating distrust into trust representations -- 5.1.1 Understandings from social sciences -- 5.1.2 An computational understanding in social media -- 5.1.3 Distrust in trust representations -- 5.1.4 Social theories for trust/distrust networks -- 5.2 Incorporating distrust into predicting trust -- 5.2.1 Distrust in global trust metrics -- 5.2.2 Distrust in local trust metrics -- 5.3 Incorporating distrust into trust-aware recommender systems -- 5.3.1 Memory-based methods -- 5.3.2 Model-based methods -- 5.4 Recent advances in incorporating distrust -- 5.4.1 Sign prediction -- 5.4.2 Distrust prediction -- 6. Epilogue -- 6.1 Future directions in predicting trust -- 6.2 Future directions in applying trust -- 6.3 Future directions in incorporating distrust -- Bibliography -- Authors' biographies trust in social media representing trust predicting trust applying trust incorporating distrust Social media / Moral and ethical aspects Ethik Social Media (DE-588)4639271-3 gnd Vertrauen (DE-588)4063290-8 gnd Ethik (DE-588)4015602-3 gnd Glaubwürdigkeit (DE-588)4157500-3 gnd |
| subject_GND | (DE-588)4639271-3 (DE-588)4063290-8 (DE-588)4015602-3 (DE-588)4157500-3 |
| title | Trust in social media |
| title_auth | Trust in social media |
| title_exact_search | Trust in social media |
| title_full | Trust in social media Jiliang Tang and Huan Liu, Arizona State University |
| title_fullStr | Trust in social media Jiliang Tang and Huan Liu, Arizona State University |
| title_full_unstemmed | Trust in social media Jiliang Tang and Huan Liu, Arizona State University |
| title_short | Trust in social media |
| title_sort | trust in social media |
| topic | trust in social media representing trust predicting trust applying trust incorporating distrust Social media / Moral and ethical aspects Ethik Social Media (DE-588)4639271-3 gnd Vertrauen (DE-588)4063290-8 gnd Ethik (DE-588)4015602-3 gnd Glaubwürdigkeit (DE-588)4157500-3 gnd |
| topic_facet | trust in social media representing trust predicting trust applying trust incorporating distrust Social media / Moral and ethical aspects Ethik Social Media Vertrauen Glaubwürdigkeit |
| volume_link | (DE-604)BV041544544 |
| work_keys_str_mv | AT tangjiliang trustinsocialmedia AT liuhuan trustinsocialmedia |