Descript |
1 PDF (xiii, 141 pages) : illustrations. |
Note |
Part of: Synthesis digital library of engineering and computer science. |
Contents |
1. Introduction to data veracity -- 1.1 The fourth "V" of big data -- 1.2 Main causes affecting data veracity -- 1.3 Classification of truth discovery approaches -- 1.4 Information extraction -- 1.5 Fact-checking and trust computation -- 1.6 Misinformation dynamics in networked systems -- |
|
2. Information extraction -- 2.1 Introduction -- 2.2 Information extraction pipeline -- 2.2.1 Tokenization and sentence segmentation -- 2.2.2 Normalization -- 2.2.3 Part-of-speech tagging -- 2.2.4 Named entity recognition -- 2.2.5 Mention detection and coreference resolution -- 2.3 Knowledge graph population -- 2.3.1 Entity discovery and linking -- 2.3.2 Relation extraction and inference -- 2.3.3 Slot filling -- 2.3.4 Slot filler validation -- 2.4 Contradiction detection -- 2.5 Conclusion -- |
|
3. Truth discovery computation -- 3.1 Introduction -- 3.2 Terminology -- 3.2.1 Notations and basic principle -- 3.2.2 Characterization of truth discovery methods -- 3.2.3 Modeling assumptions -- 3.3 Truth discovery methods -- 3.3.1 Agreement-based methods -- 3.3.2 MAP estimation-based methods -- 3.3.3 Analytical methods -- 3.3.4 Bayesian inference-based methods -- 3.4 New developments -- 3.4.1 Evolving truth discovery -- 3.4.2 Zero-to-many truth -- 3.4.3 Long-tail phenomenon -- 3.4.4 Truth discovery from crowdsourced data -- 3.5 Conclusion -- |
|
4. Trust computation -- 4.1 Introduction -- 4.2 Definitions -- 4.3 Probabilistic trust computation -- 4.3.1 Direct trust models -- 4.3.2 Combining direct and indirect trust models -- 4.3.3 Evaluation of trust computing schemes -- 4.4 Trust propagation -- 4.4.1 Overriding trust propagation -- 4.4.2 Aggregation-based propagation -- 4.5 Conclusion -- |
|
5. Misinformation dynamics -- 5.1 Introduction -- 5.2 Theoretical foundations -- 5.2.1 Terminology in complex networks -- 5.2.2 Complex network descriptors -- 5.2.3 Network models -- 5.3 Disease and rumor propagation models -- 5.3.1 Epidemic spreading -- 5.3.2 Rumor propagation -- 5.3.3 Misinformation dynamics -- 5.4 Theory under test: empirical feedback -- 5.4.1 Source identification -- 5.4.2 Dynamical role of source and intermediate nodes -- 5.5 Misinformation containment and meme mutation in complex social systems -- 5.5.1 Influence limitation: averting malicious viral processes -- 5.5.2 Information mutation: meme tracking -- |
|
6. Transdisciplinary challenges of truth discovery -- 6.1 Introduction -- 6.2 From information to data -- 6.2.1 Big data vs. sparse facts -- 6.2.2 Decontextualization -- 6.2.3 Uncertain, incomplete, and biased observations -- 6.2.4 Data and information fusion across languages, modalities, and media -- 6.3 From multisource data to networks of sources and networks of content -- 6.3.1 Truth discovery in common multiplexes -- 6.3.2 Time-dependent truth discovery -- 6.3.3 Complex interconnected networks of sources and multimedia content -- 6.4 Final remark -- Bibliography -- Authors' biographies. |
Note |
Abstract freely available; full-text restricted to subscribers or individual document purchasers. |
|
Mode of access: World Wide Web. |
|
System requirements: Adobe Acrobat Reader. |
ISBN |
9781627057721 ebook |
|
9781627057714 print |
Standard # |
10.2200/S00676ED1V01Y201509DTM042 doi |
|