User Perception Affects Search Engine Advertising Avoidance: Moderating Role of User Characteristics

2019 ◽  
Vol 47 (4) ◽  
pp. 1-12 ◽  
Author(s):  
Yujie Li

Researchers have examined avoidance of traditional media advertising (e.g., television advertising) and general Internet advertising (e.g., banner advertising), but less attention has been paid to search engine advertising (SEA) avoidance, particularly in the Chinese context. Therefore, I analyzed the effects of 3 components of user perception of SEA (perceived goal impediment, perceived advertising clutter, and prior negative experience) and 2 components of user characteristics (monthly income and advertising location awareness) on SEA avoidance in a sample of 348 working professionals who use Chinese search engines. Results showed that user perception had a significantly positive impact on SEA avoidance, monthly income attenuated the positive impact of perceived advertising clutter but intensified the positive impact of prior negative experience on SEA avoidance, and advertising location awareness enhanced the positive impact of perceived advertising clutter on SEA avoidance. Implications of the findings for effective advertising on search engines are discussed.

2017 ◽  
Vol 45 (6) ◽  
pp. 999-1006 ◽  
Author(s):  
Yi Li ◽  
Zhihui Yuan ◽  
Jing Liu

We examined the effects of promotion and prevention types of regulatory focus and the 3 user perception factors of perceived goal impediment, perceived advertising clutter, and prior negative experience, on search engine advertising (SEA) avoidance. The participants comprised 348 in-service users of the Chinese search engine, Baidu. We found that regulatory focus, perceived goal impediment, perceived advertising clutter, and prior negative experience had a significantly positive effect on SEA avoidance. Moreover, each user perception factor fully mediated the relationship between regulatory focus and SEA avoidance. We also revealed 1 personality antecedent (regulatory focus) of SEA avoidance and examined how it functions. Our findings suggest that advertisers and search engine operators should differentiate between promotion-focused and prevention-focused users, and pay attention to the perceived experience of each user type.


2018 ◽  
Vol 46 (1) ◽  
pp. 1-10
Author(s):  
Yi Li ◽  
Zhihui Yuan ◽  
Yujie Li ◽  
Jing Liu

We analyzed the effect of individual factors, contextual factors, and perception of search engine advertising on users' search engine usage behavior. The sample comprised 404 Chinese who used search engines in the context of their paid employment. Results showed that (a) perceived search skills and perceived search engine reliance significantly and positively impacted users' general search engine usage, (b) perceived advertising clutter reduced the beneficial effects of perceived search skills on users' general search engine usage, (c) users with higher perceived search engine reliance preferred search engines to other online search methods, and (d) prior negative experience reduced the positive link between perceived search engine reliance and users' specific search engine usage. Our findings suggest that search engine designers and operators should focus on individual and contextual factors influencing search engine usage behavior, and should consider users' perception of advertising on search engine programs.


Author(s):  
Francesca Carmagnola ◽  
Francesco Osborne ◽  
Ilaria Torre

In this chapter, the authors analyze the risks for privacy coming from the distribution of user data over several social networks. Specifically, they focus on risks concerning the possibility to aggregate user data discovered on different sources into a single more complete profile, which makes possible to infer other data, likely set as private by the user. In order to show how it is possible to human users as well as to software agents crawling social networks, identifying users, linking their profiles and aggregating their data, the authors describe the prototype of a search engine they developed. The authors also present a simulation analysis to show the retrievability of user data by using a combination of people search engines and they provide statistics on the user perception on this issue.


2021 ◽  
pp. 089443932110068
Author(s):  
Aleksandra Urman ◽  
Mykola Makhortykh ◽  
Roberto Ulloa

We examine how six search engines filter and rank information in relation to the queries on the U.S. 2020 presidential primary elections under the default—that is nonpersonalized—conditions. For that, we utilize an algorithmic auditing methodology that uses virtual agents to conduct large-scale analysis of algorithmic information curation in a controlled environment. Specifically, we look at the text search results for “us elections,” “donald trump,” “joe biden,” “bernie sanders” queries on Google, Baidu, Bing, DuckDuckGo, Yahoo, and Yandex, during the 2020 primaries. Our findings indicate substantial differences in the search results between search engines and multiple discrepancies within the results generated for different agents using the same search engine. It highlights that whether users see certain information is decided by chance due to the inherent randomization of search results. We also find that some search engines prioritize different categories of information sources with respect to specific candidates. These observations demonstrate that algorithmic curation of political information can create information inequalities between the search engine users even under nonpersonalized conditions. Such inequalities are particularly troubling considering that search results are highly trusted by the public and can shift the opinions of undecided voters as demonstrated by previous research.


2020 ◽  
Vol 19 (10) ◽  
pp. 1602-1618 ◽  
Author(s):  
Thibault Robin ◽  
Julien Mariethoz ◽  
Frédérique Lisacek

A key point in achieving accurate intact glycopeptide identification is the definition of the glycan composition file that is used to match experimental with theoretical masses by a glycoproteomics search engine. At present, these files are mainly built from searching the literature and/or querying data sources focused on posttranslational modifications. Most glycoproteomics search engines include a default composition file that is readily used when processing MS data. We introduce here a glycan composition visualizing and comparative tool associated with the GlyConnect database and called GlyConnect Compozitor. It offers a web interface through which the database can be queried to bring out contextual information relative to a set of glycan compositions. The tool takes advantage of compositions being related to one another through shared monosaccharide counts and outputs interactive graphs summarizing information searched in the database. These results provide a guide for selecting or deselecting compositions in a file in order to reflect the context of a study as closely as possible. They also confirm the consistency of a set of compositions based on the content of the GlyConnect database. As part of the tool collection of the Glycomics@ExPASy initiative, Compozitor is hosted at https://glyconnect.expasy.org/compozitor/ where it can be run as a web application. It is also directly accessible from the GlyConnect database.


2001 ◽  
Vol 1 (3) ◽  
pp. 28-31 ◽  
Author(s):  
Valerie Stevenson

Looking back to 1999, there were a number of search engines which performed equally well. I recommended defining the search strategy very carefully, using Boolean logic and field search techniques, and always running the search in more than one search engine. Numerous articles and Web columns comparing the performance of different search engines came to different conclusions on the ‘best’ search engines. Over the last year, however, all the speakers at conferences and seminars I have attended have recommended Google as their preferred tool for locating all kinds of information on the Web. I confess that I have now abandoned most of my carefully worked out search strategies and comparison tests, and use Google for most of my own Web searches.


2010 ◽  
Vol 44-47 ◽  
pp. 4041-4049 ◽  
Author(s):  
Hong Zhao ◽  
Chen Sheng Bai ◽  
Song Zhu

Search engines can bring a lot of benefit to the website. For a site, each page’s search engine ranking is very important. To make web page ranking in search engine ahead, Search engine optimization (SEO) make effect on the ranking. Web page needs to set the keywords as “keywords" to use SEO. The paper focuses on the content of a given word, and extracts the keywords of each page by calculating the word frequency. The algorithm is implemented by C # language. Keywords setting of webpage are of great importance on the information and products


2019 ◽  
Vol 71 (1) ◽  
pp. 54-71 ◽  
Author(s):  
Artur Strzelecki

Purpose The purpose of this paper is to clarify how many removal requests are made, how often, and who makes these requests, as well as which websites are reported to search engines so they can be removed from the search results. Design/methodology/approach Undertakes a deep analysis of more than 3.2bn removed pages from Google’s search results requested by reporting organizations from 2011 to 2018 and over 460m removed pages from Bing’s search results requested by reporting organizations from 2015 to 2017. The paper focuses on pages that belong to the .pl country coded top-level domain (ccTLD). Findings Although the number of requests to remove data from search results has been growing year on year, fewer URLs have been reported in recent years. Some of the requests are, however, unjustified and are rejected by teams representing the search engines. In terms of reporting copyright violations, one company in particular stands out (AudioLock.Net), accounting for 28.1 percent of all reports sent to Google (the top ten companies combined were responsible for 61.3 percent of the total number of reports). Research limitations/implications As not every request can be published, the study is based only what is publicly available. Also, the data assigned to Poland is only based on the ccTLD domain name (.pl); other domain extensions for Polish internet users were not considered. Originality/value This is first global analysis of data from transparency reports published by search engine companies as prior research has been based on specific notices.


2017 ◽  
Vol 80 (6) ◽  
pp. 375-383
Author(s):  
Gail Boniface ◽  
Deborah Morgan

Introduction Six reviews/inquiries into housing adaptations/home modifications processes occurred in Wales between 2004 and 2015. One resulted in the removal of the means test for children's Disabled Facilities Grants. This research investigated families' and professionals' experiences of the adaptations/home modification process to gain an understanding of their views and experiences. Method Mixed methods of an online questionnaire for professionals, and semi-structured interviews or an online questionnaire for families (depending on their preference), were employed. Forty-eight families participated and an additional 16 families responded to an online questionnaire. Analysis of qualitative data identified emergent themes, which are discussed in this article. Findings The themes were: poor information and communication mainly aimed at older adults; negative experience of the process; and the positive impact of the completed adaptation. Additionally, whilst undergoing the process, families felt that they needed a contact to guide them through the process. This contact was often by default the community occupational therapist. Conclusion A single contact person should be made available for families; occupational therapists should consider their part in that role; more specific information on children's needs should be provided; families need to recognize the part they can play in adding to delays in the delivery of adaptations.


Sign in / Sign up

Export Citation Format

Share Document