Does Search Engine Optimization come along with high-quality content?: A comparison between optimized and non-optimized health-related web pages
Does Search Engine Optimization come along with high-quality content?: A comparison between optimized and non-optimized health-related web pages
复制标题
搜索引擎优化是否会带来高质量的内容?:优化与未优化的健康相关网页之间的比较
DOI:
10.1145/3498366.3505811
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发表时间:
2022
期刊:
影响因子:
--
通讯作者:
Lewandowski
中科院分区:
文献类型:
--
作者:
Schultheiß;Häußler;Lewandowski
Searching for medical information is both a common and important activity since it influences decisions people make about their healthcare. Using search engine optimization (SEO), content producers seek to increase the visibility of their content. SEO is more likely to be practiced by commercially motivated content producers such as pharmaceutical companies than by non-commercial providers such as governmental bodies. In this study, we ask whether content quality correlates with the presence or absence of SEO measures on a web page. We conducted a user study in which N = 61 participants comprising laypeople as well as experts in health information assessment evaluated health-related web pages classified as either optimized or non-optimized. The subjects rated the expertise of non-optimized web pages as higher than the expertise of optimized pages, justifying their appraisal by the more competent and reputable appearance of non-optimized pages. In addition, comments about the website operators of the non-optimized pages were exclusively positive, while optimized pages tended to receive positive as well as negative assessments. We found no differences between the ratings of laypeople and experts. Since non-optimized, but high-quality content may be outranked by optimized content of lower quality, trusted sources should be prioritized in rankings.
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DOI:
10.1108/jd-07-2020-0127
发表时间:
2020-12
期刊:
J. Documentation
影响因子:
--
作者:
Sebastian Schultheiß;D. Lewandowski
通讯作者:
Sebastian Schultheiß;D. Lewandowski
影响因子:
2.6
作者:
Jacqueline Sachse
通讯作者:
Jacqueline Sachse
DOI:
--
发表时间:
2020
期刊:
影响因子:
--
作者:
Brian A. Zaboski;David J. Therriault
通讯作者:
David J. Therriault
影响因子:
2.4
作者:
Schultheiß;Lewandowski
通讯作者:
Lewandowski
DOI:
10.1145/2600428.2609602
发表时间:
2014
期刊:
Proceedings of the 37th international ACM SIGIR conference on Research & development in information retrieval
影响因子:
--
作者:
George Philipp;Ryen W. White
通讯作者:
Ryen W. White