Mobile Curated News Readers’ Intention to Read Full-length Articles: Focusing on Heuristic and Systematic Factors
Background: Mobile curated (shortened) news is now increasingly popular. Each curated news article is accompanied by a link that readers can click to read the full-length article on the news provider’s website. To date, little empirical research has examined the factors that influence mobile newsrea...
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| Veröffentlicht in: | Pacific Asia Journal of the Association for Information Systems 2023-06, Vol.15 (2), p.60-87 |
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| creator | Puri, Malti Lee, Kyung Young Deval, Hélène Deng, Qi Gonzalez, Paola Song, Young Ho |
| description | Background: Mobile curated (shortened) news is now increasingly popular. Each curated news article is accompanied by a link that readers can click to read the full-length article on the news provider’s website. To date, little empirical research has examined the factors that influence mobile newsreaders’ intentions to read full-length articles from their curated short forms. To address this gap, this study employs the Heuristic-Systematic Model (HSM) of information processing and examines: 1) how the heuristic and systematic factors of online curated news influence newsreaders’ intention to read full-length articles; and 2) how newsreaders’ language proficiency levels moderate these effects. Method: A survey was conducted with 195 participants recruited from Amazon MTurk. The participants first read a sample curated news item developed for this study and then filled out the questionnaire to measure the variables of interest. To test the hypotheses, a partial least square method was used with SmartPLS 4.0. Results: Our results showed that people have stronger intentions to read full-length articles when they perceive the curated news to have highly relevant information, an attractive title, a credible source, or less understandable information. Furthermore, newsreaders' language proficiency level has a moderating impact on some of these effects. The effects of these factors can be attributed to how they influence newsreaders’ reading behaviors and their heuristic or systematic processing of the curated news. Conclusion: The curated news can be properly designed to motivate newsreaders’ intention to read full-length articles. The findings contribute to the body of knowledge on HSM and mobile news adoption. The findings also provide mobile-curated news service providers and online full-length news media platforms with valuable practical implications. |
| doi_str_mv | 10.17705/1pais.15203 |
| format | Article |
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Each curated news article is accompanied by a link that readers can click to read the full-length article on the news provider’s website. To date, little empirical research has examined the factors that influence mobile newsreaders’ intentions to read full-length articles from their curated short forms. To address this gap, this study employs the Heuristic-Systematic Model (HSM) of information processing and examines: 1) how the heuristic and systematic factors of online curated news influence newsreaders’ intention to read full-length articles; and 2) how newsreaders’ language proficiency levels moderate these effects. Method: A survey was conducted with 195 participants recruited from Amazon MTurk. The participants first read a sample curated news item developed for this study and then filled out the questionnaire to measure the variables of interest. To test the hypotheses, a partial least square method was used with SmartPLS 4.0. Results: Our results showed that people have stronger intentions to read full-length articles when they perceive the curated news to have highly relevant information, an attractive title, a credible source, or less understandable information. Furthermore, newsreaders' language proficiency level has a moderating impact on some of these effects. The effects of these factors can be attributed to how they influence newsreaders’ reading behaviors and their heuristic or systematic processing of the curated news. Conclusion: The curated news can be properly designed to motivate newsreaders’ intention to read full-length articles. The findings contribute to the body of knowledge on HSM and mobile news adoption. The findings also provide mobile-curated news service providers and online full-length news media platforms with valuable practical implications.</description><identifier>ISSN: 1943-7536</identifier><identifier>EISSN: 1943-7544</identifier><identifier>DOI: 10.17705/1pais.15203</identifier><language>eng</language><publisher>Atlanta: Association for Information Systems</publisher><subject>Credibility ; Data processing ; Heuristic ; Hypotheses ; Information systems ; Language proficiency ; Least squares method ; News media</subject><ispartof>Pacific Asia Journal of the Association for Information Systems, 2023-06, Vol.15 (2), p.60-87</ispartof><rights>Copyright Association for Information Systems 2023</rights><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27924,27925</link.rule.ids></links><search><creatorcontrib>Puri, Malti</creatorcontrib><creatorcontrib>Lee, Kyung Young</creatorcontrib><creatorcontrib>Deval, Hélène</creatorcontrib><creatorcontrib>Deng, Qi</creatorcontrib><creatorcontrib>Gonzalez, Paola</creatorcontrib><creatorcontrib>Song, Young Ho</creatorcontrib><creatorcontrib>Dalhousie University</creatorcontrib><creatorcontrib>University of Windsor</creatorcontrib><title>Mobile Curated News Readers’ Intention to Read Full-length Articles: Focusing on Heuristic and Systematic Factors</title><title>Pacific Asia Journal of the Association for Information Systems</title><description>Background: Mobile curated (shortened) news is now increasingly popular. Each curated news article is accompanied by a link that readers can click to read the full-length article on the news provider’s website. To date, little empirical research has examined the factors that influence mobile newsreaders’ intentions to read full-length articles from their curated short forms. To address this gap, this study employs the Heuristic-Systematic Model (HSM) of information processing and examines: 1) how the heuristic and systematic factors of online curated news influence newsreaders’ intention to read full-length articles; and 2) how newsreaders’ language proficiency levels moderate these effects. Method: A survey was conducted with 195 participants recruited from Amazon MTurk. The participants first read a sample curated news item developed for this study and then filled out the questionnaire to measure the variables of interest. To test the hypotheses, a partial least square method was used with SmartPLS 4.0. Results: Our results showed that people have stronger intentions to read full-length articles when they perceive the curated news to have highly relevant information, an attractive title, a credible source, or less understandable information. Furthermore, newsreaders' language proficiency level has a moderating impact on some of these effects. The effects of these factors can be attributed to how they influence newsreaders’ reading behaviors and their heuristic or systematic processing of the curated news. Conclusion: The curated news can be properly designed to motivate newsreaders’ intention to read full-length articles. The findings contribute to the body of knowledge on HSM and mobile news adoption. The findings also provide mobile-curated news service providers and online full-length news media platforms with valuable practical implications.</description><subject>Credibility</subject><subject>Data processing</subject><subject>Heuristic</subject><subject>Hypotheses</subject><subject>Information systems</subject><subject>Language proficiency</subject><subject>Least squares method</subject><subject>News media</subject><issn>1943-7536</issn><issn>1943-7544</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><recordid>eNo9kN1KwzAUgIMoOHR3PkDAWzuTnLRdvBvDusFU8Oe6nLTp7OiamaTI7nwNX88nsXbiuTl_H-fAR8gFZxOepiy-5jus_YTHgsERGXElIUpjKY__a0hOydj7DetDKs65HBF_b3XdGDrvHAZT0gfz4emTwdI4__35RZdtMG2obUuDHeY065omaky7Dm905kJdNMbf0MwWna_bNe3Jhelc7fsNxbakz3sfzBZ_2wyLYJ0_JycVNt6M__IZec1uX-aLaPV4t5zPVlEhBAuRwFTpGEwCU0hTkACoGceqYlAoJXiFWiVFJZAzUFAyzYxG1KVIQCaaAZyRy8PdnbPvnfEh39jOtf3LXCimEpnIqeqpqwNVOOu9M1W-c_UW3T7nLB_M5oPZfDALP_MTbTY</recordid><startdate>20230601</startdate><enddate>20230601</enddate><creator>Puri, Malti</creator><creator>Lee, Kyung Young</creator><creator>Deval, Hélène</creator><creator>Deng, Qi</creator><creator>Gonzalez, Paola</creator><creator>Song, Young Ho</creator><general>Association for Information Systems</general><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7SC</scope><scope>7WY</scope><scope>7WZ</scope><scope>7XB</scope><scope>87Z</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>8FK</scope><scope>8FL</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BEZIV</scope><scope>BGLVJ</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FRNLG</scope><scope>F~G</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>JQ2</scope><scope>K60</scope><scope>K6~</scope><scope>K7-</scope><scope>L.-</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope><scope>M0C</scope><scope>P5Z</scope><scope>P62</scope><scope>PQBIZ</scope><scope>PQBZA</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>Q9U</scope></search><sort><creationdate>20230601</creationdate><title>Mobile Curated News Readers’ Intention to Read Full-length Articles: Focusing on Heuristic and Systematic Factors</title><author>Puri, Malti ; Lee, Kyung Young ; Deval, Hélène ; Deng, Qi ; Gonzalez, Paola ; Song, Young Ho</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c220t-2a79b53e6383773433ab01aff03c9921fab96cf2a10393d0b0ebaabd26346b033</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2023</creationdate><topic>Credibility</topic><topic>Data processing</topic><topic>Heuristic</topic><topic>Hypotheses</topic><topic>Information systems</topic><topic>Language proficiency</topic><topic>Least squares method</topic><topic>News media</topic><toplevel>online_resources</toplevel><creatorcontrib>Puri, Malti</creatorcontrib><creatorcontrib>Lee, Kyung Young</creatorcontrib><creatorcontrib>Deval, Hélène</creatorcontrib><creatorcontrib>Deng, Qi</creatorcontrib><creatorcontrib>Gonzalez, Paola</creatorcontrib><creatorcontrib>Song, Young Ho</creatorcontrib><creatorcontrib>Dalhousie University</creatorcontrib><creatorcontrib>University of Windsor</creatorcontrib><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Computer and Information Systems Abstracts</collection><collection>Access via ABI/INFORM (ProQuest)</collection><collection>ABI/INFORM Global (PDF only)</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>ABI/INFORM Global (Alumni Edition)</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ABI/INFORM Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>Advanced Technologies & Aerospace Collection</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>Business Premium Collection</collection><collection>Technology Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Business Premium Collection (Alumni)</collection><collection>ABI/INFORM Global (Corporate)</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Computer Science Collection</collection><collection>ProQuest Business Collection (Alumni Edition)</collection><collection>ProQuest Business Collection</collection><collection>Computer Science Database</collection><collection>ABI/INFORM Professional Advanced</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computer and Information Systems Abstracts Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><collection>ABI/INFORM Global</collection><collection>Advanced Technologies & Aerospace Database</collection><collection>ProQuest Advanced Technologies & Aerospace Collection</collection><collection>ProQuest One Business</collection><collection>ProQuest One Business (Alumni)</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central Basic</collection><jtitle>Pacific Asia Journal of the Association for Information Systems</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Puri, Malti</au><au>Lee, Kyung Young</au><au>Deval, Hélène</au><au>Deng, Qi</au><au>Gonzalez, Paola</au><au>Song, Young Ho</au><aucorp>Dalhousie University</aucorp><aucorp>University of Windsor</aucorp><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Mobile Curated News Readers’ Intention to Read Full-length Articles: Focusing on Heuristic and Systematic Factors</atitle><jtitle>Pacific Asia Journal of the Association for Information Systems</jtitle><date>2023-06-01</date><risdate>2023</risdate><volume>15</volume><issue>2</issue><spage>60</spage><epage>87</epage><pages>60-87</pages><issn>1943-7536</issn><eissn>1943-7544</eissn><abstract>Background: Mobile curated (shortened) news is now increasingly popular. Each curated news article is accompanied by a link that readers can click to read the full-length article on the news provider’s website. To date, little empirical research has examined the factors that influence mobile newsreaders’ intentions to read full-length articles from their curated short forms. To address this gap, this study employs the Heuristic-Systematic Model (HSM) of information processing and examines: 1) how the heuristic and systematic factors of online curated news influence newsreaders’ intention to read full-length articles; and 2) how newsreaders’ language proficiency levels moderate these effects. Method: A survey was conducted with 195 participants recruited from Amazon MTurk. The participants first read a sample curated news item developed for this study and then filled out the questionnaire to measure the variables of interest. To test the hypotheses, a partial least square method was used with SmartPLS 4.0. Results: Our results showed that people have stronger intentions to read full-length articles when they perceive the curated news to have highly relevant information, an attractive title, a credible source, or less understandable information. Furthermore, newsreaders' language proficiency level has a moderating impact on some of these effects. The effects of these factors can be attributed to how they influence newsreaders’ reading behaviors and their heuristic or systematic processing of the curated news. Conclusion: The curated news can be properly designed to motivate newsreaders’ intention to read full-length articles. The findings contribute to the body of knowledge on HSM and mobile news adoption. 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| subjects | Credibility Data processing Heuristic Hypotheses Information systems Language proficiency Least squares method News media |
| title | Mobile Curated News Readers’ Intention to Read Full-length Articles: Focusing on Heuristic and Systematic Factors |
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