FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W4313405227> ?p ?o ?g. }

• W4313405227 endingPage "160" @default.
• W4313405227 startingPage "160" @default.
• W4313405227 abstract "Evidence-based policy seeks to use evidence in public policy in a systematic way in a bid to improve decision-making quality. Evidence-based policy cannot work properly and achieve the expected results without accurate, appropriate, and sufficient evidence. Given the prevalence of social media and intense user engagement, the question to ask is whether the data on social media can be used as evidence in the policy-making process. The question gives rise to the debate on what characteristics of data should be considered as evidence. Despite the numerous research studies carried out on social media analysis or policy-making, this domain has not been dealt with through an “evidence detection” lens. Thus, this study addresses the gap in the literature on how to analyze the big text data produced by social media and how to use it for policy-making based on evidence detection. The present paper seeks to fill the gap by developing and offering a model that can help policy-makers to distinguish “evidence” from “non-evidence”. To do so, in the first phase of the study, the researchers elicited the characteristics of the “evidence” by conducting a thematic analysis of semi-structured interviews with experts and policy-makers. In the second phase, the developed model was tested against 6-month data elicited from Twitter accounts. The experimental results show that the evidence detection model performed better with decision tree (DT) than the other algorithms. Decision tree (DT) outperformed the other algorithms by an 85.9% accuracy score. This study shows how the model managed to fulfill the aim of the present study, which was detecting Twitter posts that can be used as evidence. This study contributes to the body of knowledge by exploring novel models of text processing and offering an efficient method for analyzing big text data. The practical implication of the study also lies in its efficiency and ease of use, which offers the required evidence for policy-makers." @default.
• W4313405227 created "2023-01-06" @default.
• W4313405227 creator A5000992871 @default.
• W4313405227 creator A5043429596 @default.
• W4313405227 creator A5045961979 @default.
• W4313405227 creator A5055746459 @default.
• W4313405227 creator A5065119769 @default.
• W4313405227 date "2022-12-19" @default.
• W4313405227 modified "2023-10-01" @default.
• W4313405227 title "Using an Evidence-Based Approach for Policy-Making Based on Big Data Analysis and Applying Detection Techniques on Twitter" @default.
• W4313405227 cites W1490346241 @default.
• W4313405227 cites W1500693574 @default.
• W4313405227 cites W1599318720 @default.
• W4313405227 cites W1899455794 @default.
• W4313405227 cites W1912668879 @default.
• W4313405227 cites W1969844312 @default.
• W4313405227 cites W1970794769 @default.
• W4313405227 cites W1974855425 @default.
• W4313405227 cites W1978549855 @default.
• W4313405227 cites W2000588299 @default.
• W4313405227 cites W2009718190 @default.
• W4313405227 cites W2026843272 @default.
• W4313405227 cites W2068298920 @default.
• W4313405227 cites W2071252207 @default.
• W4313405227 cites W2077168688 @default.
• W4313405227 cites W2078775209 @default.
• W4313405227 cites W2086012196 @default.
• W4313405227 cites W2094088971 @default.
• W4313405227 cites W2103181252 @default.
• W4313405227 cites W2121001699 @default.
• W4313405227 cites W2132499839 @default.
• W4313405227 cites W2159642921 @default.
• W4313405227 cites W2231228610 @default.
• W4313405227 cites W2299793536 @default.
• W4313405227 cites W2497442775 @default.
• W4313405227 cites W2540977243 @default.
• W4313405227 cites W2560086063 @default.
• W4313405227 cites W2604504584 @default.
• W4313405227 cites W2609112051 @default.
• W4313405227 cites W2668191635 @default.
• W4313405227 cites W2765377987 @default.
• W4313405227 cites W2767616591 @default.
• W4313405227 cites W2769352809 @default.
• W4313405227 cites W2782010558 @default.
• W4313405227 cites W2783058398 @default.
• W4313405227 cites W2792949944 @default.
• W4313405227 cites W2800762150 @default.
• W4313405227 cites W2887814548 @default.
• W4313405227 cites W2893000145 @default.
• W4313405227 cites W2897312458 @default.
• W4313405227 cites W2906853770 @default.
• W4313405227 cites W2911535318 @default.
• W4313405227 cites W2947414555 @default.
• W4313405227 cites W2952126329 @default.
• W4313405227 cites W2972759136 @default.
• W4313405227 cites W2981831057 @default.
• W4313405227 cites W2987489057 @default.
• W4313405227 cites W2992528239 @default.
• W4313405227 cites W2999590369 @default.
• W4313405227 cites W3003836202 @default.
• W4313405227 cites W3006434286 @default.
• W4313405227 cites W3009068656 @default.
• W4313405227 cites W3102746519 @default.
• W4313405227 cites W3121811420 @default.
• W4313405227 cites W3125983939 @default.
• W4313405227 cites W3156187258 @default.
• W4313405227 cites W4205983454 @default.
• W4313405227 cites W4226086912 @default.
• W4313405227 cites W4226140680 @default.
• W4313405227 cites W4240739486 @default.
• W4313405227 cites W4247184660 @default.
• W4313405227 cites W4252738080 @default.
• W4313405227 cites W590989110 @default.
• W4313405227 doi "https://doi.org/10.3390/bdcc6040160" @default.
• W4313405227 hasPublicationYear "2022" @default.
• W4313405227 type Work @default.
• W4313405227 citedByCount "0" @default.
• W4313405227 crossrefType "journal-article" @default.
• W4313405227 hasAuthorship W4313405227A5000992871 @default.
• W4313405227 hasAuthorship W4313405227A5043429596 @default.
• W4313405227 hasAuthorship W4313405227A5045961979 @default.
• W4313405227 hasAuthorship W4313405227A5055746459 @default.
• W4313405227 hasAuthorship W4313405227A5065119769 @default.
• W4313405227 hasBestOaLocation W43134052271 @default.
• W4313405227 hasConcept C10138342 @default.
• W4313405227 hasConcept C111472728 @default.
• W4313405227 hasConcept C111919701 @default.
• W4313405227 hasConcept C124101348 @default.
• W4313405227 hasConcept C136764020 @default.
• W4313405227 hasConcept C138885662 @default.
• W4313405227 hasConcept C141330323 @default.
• W4313405227 hasConcept C142724271 @default.
• W4313405227 hasConcept C144024400 @default.
• W4313405227 hasConcept C144133560 @default.
• W4313405227 hasConcept C162853370 @default.
• W4313405227 hasConcept C176217482 @default.
• W4313405227 hasConcept C190248442 @default.
• W4313405227 hasConcept C204787440 @default.

• next