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Misinformation detection in online content,Monitoring method and monitoring device for abnormal state of metering equipment

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Misinformation is false or inaccurate information. Examples of misinformation include false rumors, insults and pranks, while examples of more deliberate disinformation include malicious content such as hoaxes, spearphishing and propaganda. News parody or satire may also become misinformation if it is taken as serious by the unwary and spread as if it were true. The terms "misinformation" and "disinformation" have been associated with the neologism "Fake News," defined by some scholars as “fabricated information that mimics news media content in form but not in organizational process or intent.”

Misinformation detection in online content

InactiveUS20200004882A1Use minimizedAvoid performanceData processing applicationsWeb data retrievalFeature setHeuristic

Techniques are presented for providing misinformation detection in online content. The described techniques can identify instances of misinformation in online content and pass a misinformation result to the user. A misinformation probability analysis can be performed by applying a syntactic analysis and a semantic analysis to detect misinformation with confidence by applying featurization to a URL, text of content referenced by the URL, and metadata associated with the URL using a feature set, the feature set comprising semantic-based features and syntactic-based features, wherein the semantic features and the syntactic features are selected from the group consisting of: sentiment amplifiers, sentiment continuity disruption features, lexical features, keywords, baseline features, speech act, sensicon features, emotion detection on the obtained text, exaggerated language, strong adjectives, heuristics, bag-of-words, objectivity, colloquial-ness score, and semantic difference.

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Owner:MICROSOFT TECH LICENSING LLC

Monitoring method and monitoring device for abnormal state of metering equipment

PendingCN108805296AImprove convenienceAvoid the problem of false positives of abnormal statusData processing applicationsData acquisitionMonitoring system

The invention relates to a monitoring method and a monitoring device for an abnormal state of metering equipment. The monitoring method comprises the steps of collecting operational data of the metering equipment for metering an automatic system; determining abnormal state information of the metering equipment according to the operational data; acquiring equipment information of the metering equipment, and generating an operation and maintenance work order according to the abnormal state information and the equipment information; sending the operation and maintenance work order to a client side; receiving an operation and maintenance state of the metering equipment fed back by the client side; monitoring the abnormal state of the metering equipment according to the operation and maintenance state, and monitoring the abnormal state of the metering equipment by combining the operational data, the operation and maintenance work order and the operation and maintenance state. Therefore, theproblem of misinformation of the abnormal state caused by inaccurate collected operational data of the metering equipment is avoided, the monitoring accuracy is improved, closed loop monitoring processing of data collection, work order generation and equipment operation and maintenance is formed, and the convenience, pertinence and timeliness of monitoring and operation and maintenance are improved. The invention further provides a monitoring system for the abnormal state of the metering equipment.

Owner:GUANGZHOU POWER SUPPLY BUREAU GUANGDONG POWER GRID CO LTD

2 results about "Misinformation" patented technology

Misinformation detection in online content

Monitoring method and monitoring device for abnormal state of metering equipment

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