Credibility of Health Information and Digital Media: New Perspectives and Implications for Youth

Part of the Volume on Digital Media, Youth, and Credibility. This chapter considers the role of Web technologies on the availability and consumption of health information. It argues that young people are largely unfamiliar with trusted health sources online, making credibility particularly germane when considering this type of information. The author suggests that networked digital media allow for humans and technologies act as "apomediaries" that can be used to steer consumers to high quality health information, thereby empowering health information seekers of all ages

Using Search Query Surveillance to Monitor Tax Avoidance and Smoking Cessation following the United States' 2009 “SCHIP” Cigarette Tax Increase

Smokers can use the web to continue or quit their habit. Online vendors sell reduced or tax-free cigarettes lowering smoking costs, while health advocates use the web to promote cessation. We examined how smokers' tax avoidance and smoking cessation Internet search queries were motivated by the United States' (US) 2009 State Children's Health Insurance Program (SCHIP) federal cigarette excise tax increase and two other state specific tax increases. Google keyword searches among residents in a taxed geography (US or US state) were compared to an untaxed geography (Canada) for two years around each tax increase. Search data were normalized to a relative search volume (RSV) scale, where the highest search proportion was labeled 100 with lesser proportions scaled by how they relatively compared to the highest proportion. Changes in RSV were estimated by comparing means during and after the tax increase to means before the tax increase, across taxed and untaxed geographies. The SCHIP tax was associated with an 11.8% (95% confidence interval [95%CI], 5.7 to 17.9; p<.001) immediate increase in cessation searches; however, searches quickly abated and approximated differences from pre-tax levels in Canada during the months after the tax. Tax avoidance searches increased 27.9% (95%CI, 15.9 to 39.9; p<.001) and 5.3% (95%CI, 3.6 to 7.1; p<.001) during and in the months after the tax compared to Canada, respectively, suggesting avoidance is the more pronounced and durable response. Trends were similar for state-specific tax increases but suggest strong interactive processes across taxes. When the SCHIP tax followed Florida's tax, versus not, it promoted more cessation and avoidance searches. Efforts to combat tax avoidance and increase cessation may be enhanced by using interventions targeted and tailored to smokers' searches. Search query surveillance is a valuable real-time, free and public method, that may be generalized to other behavioral, biological, informational or psychological outcomes manifested online

An Analysis of Query Types for Prescription Drug Information

Much is known about the extent to which people use the Internet to search for prescription drug information as well as the usefulness of printed drug information. Little is known about the types of drug information that are queried. This study uses query data from the most relied on search engine to determine the types of drug information that the U.S. population seeks online. It finds that searches for prescription drug information most often fall under the types General or Synonym, Drug Substitute or Comparison, and Adverse Effects, and that few queries fall under the types Mechanism of Action, Administration, and Fertility, Pregnancy, or Lactation. This study also provides evidence to support the conclusion that the U.S. population searches for prescription drug information in the context of information about other drugs and that usefulness criteria for online drug information should take this into account

Undergraduates’ Preference between Web Search engines and Reference Sources for Research Activities in Two Universities in South West Nigeria

The development of web search engines has provided an alternative for undergraduates to access the needed information for their research activities without utilising library resources, especially reference sources. This avenue created by web search engines is viewed by some as detrimental, as undergraduates now display apathy towards the use of reference sources, even though web search engines have their own limitations. Based on this, the main objective of this study was therefore to examine undergraduates’ preference between web search engines and reference sources for research activities. Descriptive survey design was adopted for the study and the study population consisted of all 12,173 regular undergraduates in University of Ibadan (UI) and 2,388 in Redeemer’s University Ede Osun State, Nigeria (RUN). Multistage random sampling technique was used to select the sample size of 386 and the questionnaire was research instrument. Findings showed that most of the undergraduates in UI 195 (97.0%) and RUN 130 (92.9%) indicated that Google was their most used search engine. While, 179 (89.1%) and 124 (81.4%) of undergraduates in UI and RUN pointed out that dictionaries were the most used reference sources. Results also showed that majority of undergraduates in UI 161 (83.1%) and 111 (79.3%) in RUN indicated their preference for web search engines for research activities as against reference sources. Despite the undergraduates’ preference, the reference sources still have the potential of providing answers to any type of users’ queries. It was therefore recommended that the reference librarians should provide the needed user education on the various types of information contained in the reference sources during library orientation program. The management of the university libraries should also ensure the availability and accessibility of current and adequate reference sources

COVID-19 misinformation on YouTube: An analysis of its impact and subsequent online information searches for verification

Objectives COVID-19 vaccination misinformation on YouTube can have negative effects on users. Some, after being exposed to such misinformation, may search online for information that either debunks or confirms it. This study's objective is to examine the impact of YouTube videos spreading misinformation about COVID-19 vaccination and the influencing variables, as well as subsequent information seeking and its effect on attitudes toward vaccination. Methods In this observational and survey study, we used a three-group pre-test and post-tests design ( N = 106 participants). We examined the effects of YouTube videos containing misinformation about COVID-19 vaccination on attitudes toward vaccination via surveys, employed screen recordings with integrated eye tracks to examine subsequent online information searches, and again surveyed participants to examine the effects of the individual searches on their attitudes. Results Receiving misinformation via video tended to have negative effects, mostly on unvaccinated participants. After watching the video, they believed and trusted less in the effectiveness of the vaccines. Internet searches led to more positive attitudes toward vaccination, regardless of vaccination status or prior beliefs. The valences of search words entered and search duration were independent of the participants’ prior attitudes. Misinforming content was rarely selected and perceived (read). In general, participants were more likely to perceive supportive and mostly neutral information about vaccination. Conclusion Misinformation about COVID-19 vaccination on YouTube can have a negative impact on recipients. Unvaccinated citizens in particular are a vulnerable group to online misinformation; therefore, it is important to take action against misinformation on YouTube. One approach could be to motivate users to verify online content by doing their own information search on the internet, which led to positive results in the study

Promotion and Marketing Communications

This edited Promotion and Marketing Communications book is an original volume that presents a collection of chapters authored by various researchers and edited by marketing communication professionals. To survive in the competitive world, companies feel an urge to achieve a competitive advantage by applying accurate marketing communication tactics. Understanding marketing communication is an essential aspect for any field and any country. Hence, in this volume there is the latest research about marketing communication under which marketing strategies are delicately discussed. This book does not only contribute to the marketing and marketing communication intellectuals but also serves different sector company managerial positions and provides a guideline for people who want to attain a career in this field, giving them a chance to acquire the knowledge regarding consumer behavior, public relations, and digital marketing themes

Analysis of the quality and readability of the dental information found on web pages

More than 50% of global population has access to the Internet, which is used to obtain information on health-related issues. Dentistry is not an exception and there is a growing concern about the quality and readability of this information which is often used when making clinical decisions. This PhD dissertation analyzes both the quality and the requirements to understand this information in the three topics of dentistry which have raised more interest so far: oral cancer, dental implants, and endodontics. The conclusions of the investigations presented in this volume indicate online dental-related information is frequently difficult to read and of poor quality

eHealth and People with Schizophrenia Spectrum Disorders

eHealth is the transfer of health services and health care by information and communications technology. People with schizophrenia-spectrum disorders (SSD) use the Internet for general and health-related reasons. Yet, it is unclear what kind of schizophrenia-related health information this population finds online. eHealth literacy is the ability of Internet users to find, understand, and apply the health information they acquire, to make appropriate health decisions. People with SSD exhibit cognitive deficits and consequently, their eHealth literacy can be affected. The goal of the study was to describe schizophrenia-related health information, to investigate eHealth use among adults with SSD in Finland and Greece, and to compare the country groups. The methodology consisted of three principle procedures. First, a mixed methods study was conducted with descriptive, cross-sectional design, in order to describe and compare schizophrenia-related health information and videos found online when searched in Finnish and Greek language. Content analysis was performed. Data were analyzed with quantitative and descriptive statistics. Second, a survey study with a descriptive, cross-sectional design was conducted to describe and compare eHealth use among Finnish and Greek people with schizophrenia-spectrum disorders (SSD). Data were collected by a structured questionnaire and analyzed with quantitative, descriptive statistics, partially, group comparisons were made with logistic regression techniques. Third, a systematic literature review and meta-analysis were performed to assess the potential effectiveness of social media interventions for people with SSD. Our findings, first, showed that assessed online schizophrenia-related health information tended to be of low quality, with no significant differences between the two countries. Furthermore, schizophrenia-related videos tended to present mental illness in a negative, not medically-oriented way, again, without significant differences between the countries. Second, Internet use (FI: 87% vs. GR: 33%) and eHealth literacy (FI: mean 27.05 vs. GR: mean 23.15) of Finnish people with SSD was significantly higher (P<.0001) than their Greek counterparts. The interest component of attitudes toward computer/Internet was significantly higher (P=.006) among the Greek group (FI: mean 2.60 vs. GR: mean 3.16). Third, the systematic review and meta-analysis did not show superiority of social media mental health interventions than treatment as usual. In conclusion, it is recommended that in the future, better quality mental health information and videos need to be made available in several languages and to be easily accessible through the most popular search engines and social media sites. eHealth literacy instruction and training is necessary so that people with SSD can find, understand, and apply the health information they retrieve online.Sähköiset terveyspalvelut skitsofreniaspektrin sairauksien hoidossa eHealth –käsite tarkoittaa terveyspalveluja, jotka välitetään informaatio- ja kommunikaatioteknologian avulla. Skitsofreniaspektrin häiriöitä sairastavat henkilöt käyttävät Internetiä yleisiin ja terveyteen liittyviin tarkoituksiin. On kuitenkin epäselvää, minkälaista skitsofreniaan liittyvää terveystietoa he löytävät Internetistä. Sähköinen terveyslukutaito kuvaa Internetin käyttäjien kykyä löytää ja ymmärtää löytämäänsä terveystietoa sekä käyttää sitä tarkoituksenmukaisesti terveyteen liittyvissä päätöksissä. Koska henkilöillä, joilla on skitsofreniaspektrin häiriö, ilmenee usein kognitiivisia vajavaisuuksia, heidän terveyslukutaitonsa saattaa olla alentunut. Tämän tutkimuksen tarkoituksena oli kuvata skitsofreniaan liittyvää terveystietoa sähköisissä palveluissa, selvittää näiden terveyspalvelujen käyttöä aikuisten, skitsofreniaspektrin häiriöitä sairastavien henkilöiden keskuudessa sekä Suomessa että Kreikassa ja verrata maiden ryhmiä toisiinsa. Aluksi toteutettiin tutkimus eri tutkimusmenetelmiä yhdistämällä (mixed methods) deskriptiivisellä, poikkileikkaavalla tutkimusotteella. Tarkoituksena oli kuvata ja verrata Internetistä suomeksi ja kreikaksi löytyvää terveystietoa ja videoita skitsofreniaa koskien. Aineisto analysoitiin sisällönanalyysin sekä kuvailevin tilastomenetelmin. Seuraavaksi suoritettiin kysely samalla tutkimusasetelmalla, jossa kuvattiin ja verrattiin sähköisten terveyspalvelujen käyttöä suomalaisten ja kreikkalaisten skitsofreniaspektrin häiriöitä sairastavien henkilöiden keskuudessa. Aineisto kerättiin strukturoidulla kyselylomakkeella ja analysoitiin kuvailevin tilastomenetelmin. Ryhmien väliset vertailut tehtiin logistisen regressioanalyysin avulla. Kolmanneksi tehtiin systemaattinen kirjallisuuskatsaus ja meta-analyysi, jossa arvioitiin sosiaalisen median vaikuttavuutta skitsofreniaspektrin häiriöitä sairastavien henkilöiden hoidossa. Tulokset osoittivat, että skitsofreniaan liittyvää terveystieto oli yleisesti ottaen huonolaatuista molemmissa maissa; tutkittavien maiden välillä ei ollut tilastollisesti merkitseviä eroja. Skitsofreniaan liittyvät videot kuvasivat mielisairauksia negatiivisessa, ei-lääketieteellisessä valossa; tulokset eivät eronneet tilastollisesti maiden välillä. Suomalaisten skitsofreniaspektrin häiriöitä sairastavien henkilöiden Internetin käyttö (Suomi 87% vs. Kreikka 33%) ja sähköisen terveystiedon lukutaito (ka 27.05 vs. ka 23.15) oli korkeampi suomalaisilla kuin kreikkalaisilla potilailla; maiden väliset erot olivat tilastollisesti merkitsevät (P<.0001). Tietokoneisiin/Internetiin kohdistuvat asenteet olivat merkittävästi positiivisimmat kreikkalaisen keskuudessa (ka 2.60 vs. ka 3.16, P=.006). Systemaattinen kirjallisuuskatsaus ja meta-analyysi eivät osoittaneet sosiaalisen median olevan tehokkaampi kuin perinteiset hoitomenetelmät. Tulevaisuudessa korkealaatuista mielenterveysinformaatiota ja videoita olisi oltava helposti löydettävissä eri kielillä suosituimpien hakukoneiden ja sosiaalisen median avulla. Potilaat tarvitsevat koulutusta sähköisten palvelujen medialukutaitoon.Siirretty Doriast

Health Misinformation in Search and Social Media

People increasingly rely on the Internet in order to search for and share health-related information. Indeed, searching for and sharing information about medical treatments are among the most frequent uses of online data. While this is a convenient and fast method to collect information, online sources may contain incorrect information that has the potential to cause harm, especially if people believe what they read without further research or professional medical advice. The goal of this thesis is to address the misinformation problem in two of the most commonly used online services: search engines and social media platforms. We examined how people use these platforms to search for and share health information. To achieve this, we designed controlled laboratory user studies and employed large-scale social media data analysis tools. The solutions proposed in this thesis can be used to build systems that better support people's health-related decisions. The techniques described in this thesis addressed online searching and social media sharing in the following manner. First, with respect to search engines, we aimed to determine the extent to which people can be influenced by search engine results when trying to learn about the efficacy of various medical treatments. We conducted a controlled laboratory study wherein we biased the search results towards either correct or incorrect information. We then asked participants to determine the efficacy of different medical treatments. Results showed that people were significantly influenced both positively and negatively by search results bias. More importantly, when the subjects were exposed to incorrect information, they made more incorrect decisions than when they had no interaction with the search results. Following from this work, we extended the study to gain insights into strategies people use during this decision-making process, via the think-aloud method. We found that, even with verbalization, people were strongly influenced by the search results bias. We also noted that people paid attention to what the majority states, authoritativeness, and content quality when evaluating online content. Understanding the effects of cognitive biases that can arise during online search is a complex undertaking because of the presence of unconscious biases (such as the search results ranking) that the think-aloud method fails to show. Moving to social media, we first proposed a solution to detect and track misinformation in social media. Using Zika as a case study, we developed a tool for tracking misinformation on Twitter. We collected 13 million tweets regarding the Zika outbreak and tracked rumors outlined by the World Health Organization and the Snopes fact-checking website. We incorporated health professionals, crowdsourcing, and machine learning to capture health-related rumors as well as clarification communications. In this way, we illustrated insights that the proposed tools provide into potentially harmful information on social media, allowing public health researchers and practitioners to respond with targeted and timely action. From identifying rumor-bearing tweets, we examined individuals on social media who are posting questionable health-related information, in particular those promoting cancer treatments that have been shown to be ineffective. Specifically, we studied 4,212 Twitter users who have posted about one of 139 ineffective ``treatments'' and compared them to a baseline of users generally interested in cancer. Considering features that capture user attributes, writing style, and sentiment, we built a classifier that is able to identify users prone to propagating such misinformation. This classifier achieved an accuracy of over 90%, providing a potential tool for public health officials to identify such individuals for preventive intervention