Honto? Search: Estimating Trustworthiness of Web Information by Search Results Aggregation and Temporal Analysis

Yamamoto, Yusuke; Tezuka, Taro; Jatowt, Adam; Tanaka, Katsumi

doi:10.1007/978-3-540-72524-4_28

Cited by 21 publications

(16 citation statements)

References 8 publications

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“…The "Honto" system [16,17] has a similar objective as ours. We will compare their work with ours in detail in the next paragraph.…”

Section: Fig 5: Precisions Of Rank Merging Algorithmsmentioning

confidence: 90%

“…And it has the capability to find out the intended truthful statement if the given doubtful statement is not true. (2) Instead of simple string pattern matching techniques as used in [16,17], we use a feature based method to collect alternative statements from the Web. Besides text features, we perform semantic and correlation analysis on the alternative statements and the doubt unit to filter out unlikely statements and rank the promising statements.…”

Section: Statementsmentioning

confidence: 99%

“…Recently, researchers from Kyoto University proposed their system "Honto?Search" for the purpose of verifying the truthfulness of facts [16,17]. The basic idea is the same as ours, which looks for alternative statements via a search engine and finds most likely truthful one from them.…”

Section: Fig 5: Precisions Of Rank Merging Algorithmsmentioning

confidence: 99%

“…The basic idea is the same as ours, which looks for alternative statements via a search engine and finds most likely truthful one from them. Their method is based on hits numbers, temporal information (i.e., when a page is published) [16] and sentimental factors [17]. However, several important issues are not addressed in their work.…”

Section: Fig 5: Precisions Of Rank Merging Algorithmsmentioning

confidence: 99%

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T-verifier: Verifying truthfulness of fact statements

Meng

2011

2011 IEEE 27th International Conference on Data Engineering

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Abstract-The Web has become the most popular place for people to acquire information. Unfortunately, it is widely recognized that the Web contains a significant amount of untruthful information. As a result, good tools are needed to help Web users determine the truthfulness of certain information. In this paper, we propose a two-step method that aims to determine whether a given statement is truthful, and if it is not, find out the truthful statement most related to the given statement. In the first step, we try to find a small number of alternative statements of the same topic as the given statement and make sure that one of these statements is truthful. In the second step, we identify the truthful statement from the given statement and the alternative statements. Both steps heavily rely on analyzing various features extracted from the search results returned by a popular search engine for appropriate queries. Our experimental results show the best variation of the proposed method can achieve a precision of about 90%.

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“…The "Honto" system [16,17] has a similar objective as ours. We will compare their work with ours in detail in the next paragraph.…”

Section: Fig 5: Precisions Of Rank Merging Algorithmsmentioning

confidence: 90%

Section: Statementsmentioning

confidence: 99%

Section: Fig 5: Precisions Of Rank Merging Algorithmsmentioning

confidence: 99%

Section: Fig 5: Precisions Of Rank Merging Algorithmsmentioning

confidence: 99%

See 2 more Smart Citations

T-verifier: Verifying truthfulness of fact statements

Meng

2011

2011 IEEE 27th International Conference on Data Engineering

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“…Together, these documents form a comprehensive picture of our cultural, commercial, scientific and social history, expressed by all kinds of people. It is therefore important to preserve and make these data accessible, not only for historical research [1], but also to support current technology, such as assessing the trustworthiness of statements [2], detecting web spam [3] or improving web information retrieval (IR) [4].…”

Section: Introductionmentioning

confidence: 99%

Evaluating Web Archive Search Systems

Costa

Silva

2012

Web Information Systems Engineering - WISE 2012

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Abstract. The information published on the web, a representation of our collective memory, is rapidly vanishing. At least 77 web archives have been developed to cope with the web's transience problem, but despite their technology having achieved a good maturity level, the retrieval effectiveness of the search services they provide still presents unsatisfactory results. In this work, we propose an evaluation methodology for web archive search systems based on a list of requirements compiled from previous characterizations of web archives and their users. The methodology includes the design of a test collection and the selection of evaluation measures to support realistic and reproducible experiments. The test collection enabled, for the first time, to measure the effectiveness of state-of-the-art IR technology employed in web archives. Results confirm the poor quality of search results retrieved with such technology. However, we show how to combine temporal features, along with the regular topical features, to improve the search effectiveness on web archives. The test collection is available to the research community.

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Towards Content Expiry Date Determination: Predicting Validity Periods of Sentences

Almquist¹,

Jatowt

2019

Lecture Notes in Computer Science

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Honto? Search: Estimating Trustworthiness of Web Information by Search Results Aggregation and Temporal Analysis

Cited by 21 publications

References 8 publications

T-verifier: Verifying truthfulness of fact statements

T-verifier: Verifying truthfulness of fact statements

Evaluating Web Archive Search Systems

Towards Content Expiry Date Determination: Predicting Validity Periods of Sentences

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