Abstract
Background
Objective
Study Appraisal and Synthesis Methods
Results
Limitations
Conclusions and Implications of Key Findings
Keywords
- •To our knowledge, this is the first systematic review to explore how adolescents trust health information specifically on social media
- •Friends and networks are important for adolescents’ trust in this space
- •The interface between adolescents’ trust and identity is central
- •Clinicians caring for adolescents should understand how adolescents’ evaluations of trust on social media influence adolescents’ health-related knowledge
- •Health care organizations and academic pediatricians designing health resources on social media should consider aspects of trust to ensure evidence-based information reaches adolescents
Anderson M, Jiang J. Teens, Social Media & Technology 2018. 2018:2018. May 31 2018. Available at:https://www.pewresearch.org/internet/2018/05/31/teens-social-media-technology-2018/. Accessed August 4, 2021.
Swist T, Collin P, McCormack J, et al. Social media and the wellbeing of children and young people: a literature review. 2015. Available at:http://www.uws.edu.au/__data/assets/pdf_file/0019/930502/Social_media_and_children_and_young_people.pdf. Accessed November 6, 2022.
Swist T, Collin P, McCormack J, et al. Social media and the wellbeing of children and young people: a literature review. 2015. Available at:http://www.uws.edu.au/__data/assets/pdf_file/0019/930502/Social_media_and_children_and_young_people.pdf. Accessed November 6, 2022.
Methods
Search Strategy and Selection Criteria
|
Study Selection
Critical Appraisal of Included Studies
Data Collection
Synthesis of Results
Results
Study Selection

Critical Appraisal of Included Studies
Screening Questions | Appraisal by Study Type | Score (%) | |||||||
---|---|---|---|---|---|---|---|---|---|
First author | Year | S1. Are There Clear Research Questions? | S2. Do the Collected Data Allow to Address the Research Questions? | ||||||
Qualitative Studies | 1.1. Is the Qualitative Approach Appropriate to Answer the Research Question? | 1.2. Are the Qualitative Data Collection Methods Adequate to Address the Research question? | 1.3. Are the Findings Adequately Derived From the Data? | 1.4. Is the Interpretation of Results Sufficiently Substantiated by Data? | 1.5. Is There Coherence Between Qualitative Data Sources, Collection, Analysis, and Interpretation? | ||||
Ahola Kohut 36 | 2017 | Yes | Yes | Yes | Yes | Yes | Yes | Yes | 100 |
Booth 22 | 2018 | Yes | Yes | Yes | Yes | Yes | Yes | Yes | 100 |
Booth 58 | 2019 | Yes | Yes | Yes | Yes | Yes | Yes | Yes | 100 |
Byron 31 | 2013 | No | No | Yes | Yes | Yes | Yes | Yes | 100 |
Byron 37 | 2015 | Yes | Yes | Yes | Yes | Yes | Yes | Yes | 100 |
Fergie 20 | 2013 | Yes | Yes | Yes | Yes | Yes | Yes | Yes | 100 |
Goodyear 45 | 2019 | Yes | Yes | Yes | Yes | Yes | Yes | Yes | 100 |
Goodyear & Armour (“Young People, Social Media, and Health”) 47 | 2019 | Yes | Yes | Yes | Yes | Yes | Yes | Yes | 100 |
Goodyear & Quennerstedt 43 | 2020 | Yes | Yes | Yes | Yes | Yes | Yes | Yes | 100 |
Gray 41 | 2005 | Yes | Yes | Yes | Yes | Yes | Yes | Yes | 100 |
Harris 29 | 2021 | Yes | Yes | 100 | |||||
Holland 28
Osteoporosis knowledge translation for young adults: new directions for prevention programs. Health Promot Chronic Dis Prev Can. 2017; 37 (L'application des connaissances sur l'osteoporose chez les jeunes adultes: nouvelles orientations pour les programmes de prevention): 229-237https://doi.org/10.24095/hpcdp.37.8.01 | 2017 | Yes | Yes | Yes | Yes | Yes | Yes | Yes | 100 |
Holmberg 30 | 2019 | Yes | Yes | Yes | Yes | Can't tell | Yes | Can't tell | 80 |
Kenny 33 | 2016 | Yes | Yes | Yes | Yes | Yes | Yes | Yes | 100 |
Lariscy 18 | 2011 | Yes | Yes | Yes | Yes | Yes | Yes | Yes | 100 |
Lavis 50 | 2020 | Yes | Yes | Yes | Yes | Yes | Yes | Yes | 100 |
Macharia 21 | 2021 | Yes | Yes | Yes | Yes | Yes | Yes | Yes | 100 |
Malik 34 | 2019 | Yes | Yes | Yes | Yes | Yes | Yes | Yes | 100 |
Ortiz 44 | 2015 | Yes | Yes | Yes | Yes | Can't tell | Yes | Can't tell | 80 |
Patterson 26 | 2019 | Yes | Yes | Yes | Yes | Yes | Yes | Yes | 100 |
Raeside 49 | 2022 | Yes | Yes | Yes | Yes | Yes | Yes | Yes | 100 |
Selkie 38 | 2011 | Yes | Yes | Yes | Yes | Yes | Yes | Yes | 100 |
Selkie 39 | 2020 | Yes | Yes | Yes | Yes | Yes | Yes | Yes | 100 |
Simon 40
Adolescents' sex education using new digital media: the personal motivations and interactive experiences of young people online at Reddit.com. Conference Abstract. Eur J Contracept Reprod Health Care. 2013; 18: S224-S225https://doi.org/10.3109/13625187.2013.793038 | 2013 | Yes | Yes | Yes | Yes | Can't tell | Yes | Can't tell | 80 |
Thianthai 27
What does social media have to do with health? A case study of Bangkok youths. Int J Adolesc Med Health. 2018; 3320180058https://doi.org/10.1515/ijamh-2018-0058 | 2018 | Yes | Yes | Yes | Yes | Yes | Yes | Yes | 100 |
Van Dyck 42 | 2019 | Yes | Yes | Yes | Yes | Yes | Yes | Yes | 100 |
Veinot 48 | 2013 | Yes | Yes | Yes | Yes | Yes | Yes | Yes | 100 |
Quantitative Descriptive Studies | 4.1. Is the Sampling Strategy Relevant to Address the Research Question? | 4.2.Is the Sample Representative of the Target Population? | 4.3. Are the Measurements Appropriate? | 4.4. Is the Risk of Nonresponse Bias Low? | 4.5. Is the Statistical Analysis Appropriate to Answer the Research question? | ||||
Best 19 | 2016 | Yes | Yes | Yes | Yes | Yes | Can't tell | Yes | 90 |
Esmaeilzadeh 32
A survey on adolescent health information seeking behavior related to high-risk behaviors in a selected educational district in Isfahan. Research Support, Non-U.S. Gov't. PLoS One. 2018; 13e0206647https://doi.org/10.1371/journal.pone.0206647 | 2018 | Yes | Yes | Yes | Yes | Yes | Yes | Yes | 100 |
Zhang 23 | 2017 | Yes | Yes | Yes | Yes | Yes | Can't tell | Yes | 90 |
Mixed Methods Studies | 5.1. Is There an Adequate Rationale for Using a Mixed Methods Design to Address the Research Question? | 5.2. Are the Different Components of the Study Effectively Integrated to Answer the Research Question? | 5.3. Are the Outputs of the Integration of Qualitative and Quantitative Components Adequately Interpreted? | 5.4. Are Divergences and Inconsistencies Between Quantitative and Qualitative Results Adequately Addressed? | 5.5. Do the Different Components of the Study Adhere to the Quality Criteria of Each Tradition of the Methods Involved? | ||||
Evans 24 | 2015 | Yes | Yes | Yes | Yes | Yes | No | No | 80 |
Leary 25 | 2019 | Yes | Yes | Yes | Yes | Yes | Yes | Yes | 100 |
Nikolaou 35 | 2019 | Yes | Yes | Yes | Yes | Yes | Yes | Yes | 100 |
Plaisime 46
Social media and teens: a needs assessment exploring the potential role of social media in promoting health. Soc Media Soc. 2020; 6https://doi.org/10.1177/2056305119886025 | 2020 | Yes | Yes | Yes | Yes | Yes | Yes | Yes | 100 |
Study Characteristics
Study, Country and Sample | N | Sex Distribution | Age Range, Years | Conceptual Methodological Framework | Data Collection | Analysis | Topic |
---|---|---|---|---|---|---|---|
Ahola Kohut et al (2017) 36 Canada Clinical sample from 3 pediatric hospitals | 33 | 65% female; 36% male | 12–18 (M = 15.3, SD = 1.8) | Qualitative | Semistructured interviews | Inductive content analysis | Needs and preferences of adolescents with chronic conditions for online support programs specific to living with a chronic condition |
Best et al (2016) 19 United Kingdom Nonclinical sample from 7 secondary schools in Northern Ireland | 527 | 100% male | 14–15 | Quantitative | Survey | Statistical analyses (including chi-square tests for independence, t-tests, analyses of variance and standard linear regression for correlational analyses) | The impact of online help-seeking behaviors on the mental wellbeing of adolescent males |
Booth (2018) 22 United States Nonclinical sample from 2 charter schools and 2 Parent-Teacher Associations (PTA) | 30 | 76.7% female; 23.3% male | 13–18 | Qualitative | Semistructured interviews and practical task (participants accessed known fitness content on social media) | Thematic analysis | Strategies young people use to assess fitness information online and intersecting identity characteristics that relate to how young people make these decisions |
Booth & Trauth (2019) 58 United States Nonclinical sample from 2 low-SES and 2 high-SES school districts | 30 | 77% female; 23% male | 13–18 | Qualitative | Semistructured interviews and practical task (participants accessed known fitness content on social media) | Thematic analysis | How teenagers interact with and make decisions about the quality of video-based exercise and nutrition content they interact with via social media |
Byron et al (2013) 31 Australia Nonclinical sample from urban and regional communities | 22 | 50% female; 50% male | 16–22 | Qualitative | Focus groups and design of delivery strategies for hypothetical social media sexual health campaigns for young people | Situated discourse analysis | Sexual health promotion for young people via Facebook and other social media |
Byron et al (2015) 37 Australia Nonclinical sample from urban and regional communities | 22 | 50% female; 50% male | 16–22 | Qualitative | Literature review and focus group | Thematic analysis | How formal “expertise” is leveraged through the subjugation of young people's knowledge, and how this is problematic for sexual health promotion; seeking to engage with young people through social media |
Esmaeilzadeh et al (2018) 32
A survey on adolescent health information seeking behavior related to high-risk behaviors in a selected educational district in Isfahan. Research Support, Non-U.S. Gov't. PLoS One. 2018; 13e0206647https://doi.org/10.1371/journal.pone.0206647 Iran Nonclnical sample of public school students | 392 | 51.8% female; 48.2% male | 15–18 | Quantitative | Survey | Statistical analyses (including descriptive statistics, independent t-test, one-sample t-test, chi-square, Pearson correlation coefficient, and Mann-Whitney) | Adolescent health information seeking behavior related to high-risk behaviors |
Evans et al (2015) 24 United States Clinical sample of self-identified transgender youth | 15 | 20% trans-feminine; 47% trans-masculine; 33% other | 14–22 (M = 18) | Mixed methods | Focus groups, interviews [plus online survey for caregivers (not adolescents) outside the scope of this review] | Thematic analysis | What online resources transgender youth and their caregivers use to acquire information about transgender health |
Fergie et al (2013) 20 United Kingdom Nonclinical sample of adolescents from a range of socioeconomic areas in Scotland | 34 | 70.5% female; 29.5% male | 14–18 | Qualitative | Focus groups and practical task (participants looked for examples of health-related content on social media) | Thematic analysis | Young people's perceptions and experiences of engaging with health content online, particularly through social media, and their strategies for negotiating reliability online |
Goodyear et al (2019) 45 “Young people and their engagement with health-related social media: new perspectives” United Kingdom Nonclinical sample from 10 schools in the West Midlands and the South of England | 1296 | Phase 1: 40% female; 60% male Phase 2: 57.2% female; 23.8% male Phase 3: 67.1% female; 23.9% male | 13–18 | Mixed methods | Phase 1: piloting and coconstructing participatory class activities Phase 2: participatory class activities and interviews Phase 3: survey | Descriptive statistics and thematic analysis | The ways in which young people engage with health-related social media and the influences they report on their health in the specific areas of physical activity, diet/nutrition and body image |
Goodyear & Armour (2019) 47 “Young People, Social Media and Health” United Kingdom Nonclinical sample from 10 schools in the United Kingdom | 1346 | Phase 1: Participatory activities (57.2% female; 42.8% male); Focus groups (58.3% female; 41.7% male); survey (66.5% female; 32.9% male) Phase 2: Stakeholders (not adolescents) Phase 3: Unspecified | 13–18 | Case study methodology | Phase 1: participatory activities, focus groups, survey Phase 2: workshop with key stakeholders Phase 3: workshop with young people | Case study analysis | The opportunities and risk-related impacts of social media on young people's health |
Goodyear & Quennerstedt (2020) 43 United Kingdom Nonclinical sample from 10 schools in the United Kingdom | 84 | 58.3% female; 41.7% male | 13–15 | Practical Epistemology Analysis (PEA) | Participatory class activities (including a questionnaire) and focus group interviews (Note: paper focuses on analysis of focus group interviews) | Thematic analysis | Young boys’ health-related learning in relation to social media |
Gray et al (2005) 41 “Health information-seeking behavior in adolescence: The place of the Internet.” United Kingdom and United States Nonclinical sample from UK high schools and US middle schools and high schools | 157 | NS | 11–19 | Qualitative | Focus groups | Thematic analysis | UK and US adolescents’ perceptions and experiences of online health information seeking |
Harris et al (2021) 29 United Kingdom Nonclinical sample from 3 secondary schools and sixth-form colleges in North West England | 85 | 53% female; 47% male | 13–18 | Qualitative | Focus groups | Thematic analysis | Young people's perceptions and experiences of YoutTuber-produced health content |
Holland (2017) 28
Osteoporosis knowledge translation for young adults: new directions for prevention programs. Health Promot Chronic Dis Prev Can. 2017; 37 (L'application des connaissances sur l'osteoporose chez les jeunes adultes: nouvelles orientations pour les programmes de prevention): 229-237https://doi.org/10.24095/hpcdp.37.8.01 Canada Nonclinical sample from McMaster University, Mohawk college, and the community in Hamilton, Ontario | 60 | 50% female; 50% male | 17–30 | Qualitative | Sociodemographic questionnaire and semistructured interviews | Descriptive statistics and thematic analysis | Sources and types of information young adults consult for information on nutrition and bone health |
Holmberg et al (2019) 30 Sweden Clinical sample of pediatric patients undergoing treatment for obesity at a Swedish University Hospital | 20 | 55% female; 45% male | 13–16 | Qualitative | Semistructured interviews and practical search task | Content analysis | How patients search for and select online information regarding food, body weight, and health, and how they experience this information |
Kenny et al (2016) 33 Ireland Nonclinical sample from 2 single-sex secondary schools in Dublin, Ireland | 34 | 40% female; 60% male | 15–16 | Qualitative | Focus groups | Thematic analysis | Adolescents’ needs from mental health mobile apps and adolescents’ perspectives on a mental health mobile app prototype |
Lariscy et al (2011) 18 United States Nonclinical sample of rural and urban seventh-grade students | 42 | 50% female; 50% male | Seventh-grade students | Grounded theory | Focus groups | Thematic analysis | Adolescents’ health concerns and the sources they rely on most for health information |
Lavis & Winter (2020) 50 United Kingdom Online ethnography and nonclinical sample for interviews recruited on social media | 10 | 100% female | 10–24 for online ethnography | Ethnography | Online ethnography (Instagram, Twitter, and Reddit) [plus semistructured interviews with those over 18 years, outside the scope of this review] | Thematic analysis | The harms and benefits of young people's engagements with self-harm content on social media, including why and how young people engage in online self-harm discussions and what they post |
Leary et al (2019) 25 United States Nonclinical sample from middle schools and high schools | 27 | 100% female | 12–18 | Mixed methods | Focus groups and surveys for adolescents and adults | Descriptive statistics and content analysis | Use of and exposure to social media among adolescent girls with regard to health-related content |
Macharia et al (2021) 21 Kenya Nonclinical sample from Kibra, a suburb in the city of Nairobi | 133 | 54% female; 46% male | 15–19 | Qualitative | Focus groups | Thematic analysis | Adolescents’ current sexual and reproductive health information sources, existing information gaps, and the role of technology in accessing this information |
Malik et al (2019) 34 United States Clinical sample of adolescents with Type 1 Diabetes from Seattle Children's Hospital Diabetes Clinics | 45 | 42% female; 58% male | 13–19 (M = 15.9, SD = 1.7) | Qualitative | Focus groups and demographic questionnaire | Descriptive statistics and thematic analysis | The experiences and perspectives of adolescents with type 1 diabetes on the feasibility of social media use as a tool to collaboratively manage their diabetes with their diabetes care team |
Nikolaou et al (2019) 35 United Kingdom, Belgium, Finland, Greece, Singapore, and New Zealand Nonclinical sample recruited via an online advertisement service | 2285 (610 adolescents) | Survey: 70% female; 30% male Focus groups: 57–67% female; 33–43% male | 13–24 | Mixed methods | Survey and focus groups | Descriptive statistics, inferential statistics, and thematic analysis | Young people's attitudes and motivations toward social media and mobile apps for weight control |
Ortiz et al (2015) 44 United States Clinical sample from a pediatric and adolescent clinic in North Carolina | 38 | 34% female; 66% male | 11–21 (M = 15.86) | Qualitative | Focus groups | Thematic analysis | Feasibility and strategies for using social media to promote HPV vaccination to patients |
Patterson et al (2019) 26 United Kingdom Nonclinical sample of local youth in Scotland | 49 | 61% female; 39% male | 16–19 | Qualitative | Interviews and practical search tasks | Thematic analysis | Barriers and challenges faced by adolescents when searching for sexual health information on the Internet |
Plaisime et al (2020) 46
Social media and teens: a needs assessment exploring the potential role of social media in promoting health. Soc Media Soc. 2020; 6https://doi.org/10.1177/2056305119886025 United States Nonclinical sample from schools in Philadelphia and Drexel University College of Medicine | 178 | Survey: 46% female; 46% male; 7.2% not reported Focus groups: 53.8% female; 46.3% male | 13–18 | Mixed methods | Social media usability survey and focus groups | Descriptive statistics and content analysis | Teen social media use and the role of social media as a health promotion tool |
Raeside et al (2022) 49 Australia Nonclinical sample from existing database and known networks | 32 | 46% female; 41% male; 3% prefer not to say | 13–18 | Qualitative | Focus groups | Thematic analysis | Adolescent perceptions of obtaining information or advice related to lifestyle health from contemporary digital platforms |
Selkie et al (2011) 38 United States Nonclinical sample from recreational centers and schools in urban and suburban areas | 29 | 34.5% male; 65.5% female | 14–19 | Grounded theory | Focus groups | Thematic analysis | Adolescents' views regarding uses of social networking websites and text messaging for sexual health education |
Selkie et al (2020) 39 United States Clinical sample from pediatric gender clinic in Midwestern United States | 25 | 44% trans-feminine; 52% trans-masculine; 4% nonbinary | 15–18 (average = 16) | Qualitative | Semistructured interviews | Thematic analysis | How transgender adolescents use social media to find social support |
Simon (2013) 40
Adolescents' sex education using new digital media: the personal motivations and interactive experiences of young people online at Reddit.com. Conference Abstract. Eur J Contracept Reprod Health Care. 2013; 18: S224-S225https://doi.org/10.3109/13625187.2013.793038 Sweden Nonclinical sample of adolescents who had experiences of sexual learning on the Internet | 15 | NS | NS | Qualitative | Interviews | Thematic analysis | The personal motivations and interactive experiences of sex education for young people online at Reddit.com |
Thianthai (2018) 27
What does social media have to do with health? A case study of Bangkok youths. Int J Adolesc Med Health. 2018; 3320180058https://doi.org/10.1515/ijamh-2018-0058 Thailand Nonclinical sample from public schools and a youth camp in the Bangkok metropolitan area | 74 | 48.6% female; 51.4% male | 15–24 | Qualitative | Interviews and practical search task | Content analysis | How youths perceive social media affects their physical, psychological, social, and spiritual health |
Van Dyck et al (2019) 42 Belgium Nonclinical sample of first graders from 3 secondary vocational schools in Flanders | 41 | 49% female; 51% male | 12–14 | Mixed methods | Focus groups and demographic questionnaire | Descriptive statistics and thematic analysis | Opinions of adolescents toward the use of different behavior change techniques and toward Facebook/text messaging as a delivery mode for physical activity interventions |
Veinot et al (2013) 48 United States Nonclinical sample of African-American youth from urban areas in Midwestern United States | 75 | 71% female; 29% male | 14–24 (M = 18.3) | Qualitative | Focus groups | Content analysis | The user requirements of African-American youth inform the design of a culturally appropriate, network-based informatics intervention for the prevention of HIV and other sexually transmitted infections |
Zhang et al (2017) 23 Vietnam Nonclinical sample initially recruited from high schools and universities | 1080 | 58.06% female; 41.94% male | 15–25 | Quantitative | Online survey | Statistical analyses (including chi-square, t-test, analysis of variance, and multivariate logistic Regressions) | Use of Facebook and youths’ perception of the reliability and usefulness of health-related information that they previously encountered while using Facebook |
Results Synthesis
Theme | Quotations | References Where Theme Is Mentioned |
---|---|---|
Trust in the social media platform/service | ||
General distrust of social media for health information | “Bea: [You] can't always trust the information that you find. Alison: And if you do trust it, [. . .] you could do more harm than good. Cara: Yeah.” 20 “[social media] isn't reliable, it's just someone's opinion” 28
Osteoporosis knowledge translation for young adults: new directions for prevention programs. Health Promot Chronic Dis Prev Can. 2017; 37 (L'application des connaissances sur l'osteoporose chez les jeunes adultes: nouvelles orientations pour les programmes de prevention): 229-237https://doi.org/10.24095/hpcdp.37.8.01 “Tumblr, that's a bad site. That's a bad site to get your medical information from. People spread misinformation like it's going out of fashion.” 24 “Not all the social media information is true, the best thing to do is just look for a health organization providing reproductive health services.” 21 | 18 , 19 , 20 , 21 , 22 , 23 , 24 , 25 , 26 ,28 ,
Osteoporosis knowledge translation for young adults: new directions for prevention programs. Health Promot Chronic Dis Prev Can. 2017; 37 (L'application des connaissances sur l'osteoporose chez les jeunes adultes: nouvelles orientations pour les programmes de prevention): 229-237https://doi.org/10.24095/hpcdp.37.8.01 29 , 30 , 31 , 32 ,
A survey on adolescent health information seeking behavior related to high-risk behaviors in a selected educational district in Isfahan. Research Support, Non-U.S. Gov't. PLoS One. 2018; 13e0206647https://doi.org/10.1371/journal.pone.0206647 27
What does social media have to do with health? A case study of Bangkok youths. Int J Adolesc Med Health. 2018; 3320180058https://doi.org/10.1515/ijamh-2018-0058 |
Safety and privacy | “You can't always rely on technology...if someone hacks into it for whatever reason” 36 “I came out online first and then to friends in school including teachers. But I felt... I felt like I could. It's… it's really contradictory online because it's so impersonal yet personal at the same time. But it felt like I was seen on as a male online, and if I can do that here then I can do that in school and in my home and in other places where that impacts my life.” 39 | 19 , 20 , 21 ,26 ,29 ,31 , 32 ,
A survey on adolescent health information seeking behavior related to high-risk behaviors in a selected educational district in Isfahan. Research Support, Non-U.S. Gov't. PLoS One. 2018; 13e0206647https://doi.org/10.1371/journal.pone.0206647 33 , 34 , 35 , 36 , 37 , 38 , 39 , 40 ,
Adolescents' sex education using new digital media: the personal motivations and interactive experiences of young people online at Reddit.com. Conference Abstract. Eur J Contracept Reprod Health Care. 2013; 18: S224-S225https://doi.org/10.3109/13625187.2013.793038 41 , 42 , 43 , 44 |
Trust in other users | ||
Mistrust of unknown users | “if who you are talking to is really who you are talking to.” 36 | 19 ,20 ,28 ,
Osteoporosis knowledge translation for young adults: new directions for prevention programs. Health Promot Chronic Dis Prev Can. 2017; 37 (L'application des connaissances sur l'osteoporose chez les jeunes adultes: nouvelles orientations pour les programmes de prevention): 229-237https://doi.org/10.24095/hpcdp.37.8.01 36 ,41 |
Fear of bullying or judgment | “On Facebook, simply ‘Liking’ sexual health content was deemed sufficient to attract judgement,” as Josie and Kyle explained: Kyle: Like you've liked it an’ then everybody's like “Oh, why?” Josie: Like, “What's he dae'in (doing) that for?!” Kyle: Yeah, “What are you dae'in that for, you dirty (a promiscuous person)?! (laughing)” 26 “[Cyberbullying] occurs more on social media these days, [more] than it occurs in person. There are [like] new bullies. [Fights] start on social media — [someone writes something] on Instagram or whatever, and then it's a problem in the [whole] school because of what [one] person wrote.” 46
Social media and teens: a needs assessment exploring the potential role of social media in promoting health. Soc Media Soc. 2020; 6https://doi.org/10.1177/2056305119886025 “...it should be moderated...in case somebody who is just out there to find a site to start a mess.” 48 “…if you could find other reasons that people should watch the videos without that direct link to the diseases that you are talking about – because that's a lot of where the stigma comes from.” 31 “I don't put it on Instagram. I don't think I have the confidence to do that really. I feel like I'd get bullied, I'm not going to lie.” 43 | 20 , 21 , 22 ,26 ,31 ,33 ,36 ,37 ,39 ,42 , 43 , 44 , 45 , 46 ,
Social media and teens: a needs assessment exploring the potential role of social media in promoting health. Soc Media Soc. 2020; 6https://doi.org/10.1177/2056305119886025 47 , 48 |
Trust in friends or peers | “I'd definitely trust my friends more than celebrities although I do aspire and like them.” 25 “It would be nice to create a Facebook page from our class on Facebook, to share activities Moderator: Can other people be allowed to join your group? No, only people I know!” 42 “Female: ‘Yeah. With health information, I think it's better if it's anonymous because I don't think everyone's really comfortable about talking about that kind of stuff with random [people]... It's something they want to keep to themselves.’ Female: ‘Close friends, yeah, but not like everyone I have on Facebook.’” 31 | 25 ,28 ,
Osteoporosis knowledge translation for young adults: new directions for prevention programs. Health Promot Chronic Dis Prev Can. 2017; 37 (L'application des connaissances sur l'osteoporose chez les jeunes adultes: nouvelles orientations pour les programmes de prevention): 229-237https://doi.org/10.24095/hpcdp.37.8.01 31 ,32 ,
A survey on adolescent health information seeking behavior related to high-risk behaviors in a selected educational district in Isfahan. Research Support, Non-U.S. Gov't. PLoS One. 2018; 13e0206647https://doi.org/10.1371/journal.pone.0206647 36 , 37 , 38 ,42 ,44 ,46 ,
Social media and teens: a needs assessment exploring the potential role of social media in promoting health. Soc Media Soc. 2020; 6https://doi.org/10.1177/2056305119886025 47 |
Celebrities and popularity | “well, I feel, I get jealous sort of… that's how I feel… I am happy for their sake, but still, I can feel like no, it will never work and stuff like that… and that is not so nice” 30 “Interviewer: What's a good amount of likes? Female 1: 500 Female 2: 100, or like 110…. Interviewer: So if a picture of something—an exercise someone was doing—had 100 odd likes, does that show it's good?… Female 1: It doesn't appeal to us as much, because it's only 100 likes—so it shows that if other people are not interested, why should we.” 45 “Darnell (18) explained that if a video has over 100,000 views, that means it has a good audience. When searching for videos, Jasmine (17) selects the video in her search results that has the most views.” 22 “on Facebook [. . .], reliability could be determined by how many people ‘like’ the page, cos that would mean that it's been around for a while and [. ..] it's a popularity sort of thing” 20 “When you see someone on Instagram [and] you know they look good because of how they [look] and how they exercise” 46
Social media and teens: a needs assessment exploring the potential role of social media in promoting health. Soc Media Soc. 2020; 6https://doi.org/10.1177/2056305119886025 | 20 ,22 ,25 ,28 ,
Osteoporosis knowledge translation for young adults: new directions for prevention programs. Health Promot Chronic Dis Prev Can. 2017; 37 (L'application des connaissances sur l'osteoporose chez les jeunes adultes: nouvelles orientations pour les programmes de prevention): 229-237https://doi.org/10.24095/hpcdp.37.8.01 29 , 30 ,39 ,43 , 44 , 45 , 46 ,
Social media and teens: a needs assessment exploring the potential role of social media in promoting health. Soc Media Soc. 2020; 6https://doi.org/10.1177/2056305119886025 47 ,49 |
Trust in others’ experience and the importance of social support | “it feels good… like they are helping me… and that we help each other since we have the same problem” 30 “You can form really strong bonds over the internet and I think if you have something as big as diabetes in common then like you could probably bond really fast. I mean I trust you guys and I've only met you today” 34 “…but it would have to be a real story, not a made up one.” 31 “Sometimes it feels good to just let it out and then people comment and they're like yeah this happened to me too or they say something positive about that experience and how it is handled. It makes you feel good.” 36 "Peter: Social media is most likely to have personal opinions I think and the more informative like official sites they would have dry facts about the illness or any other problem you might have, so you kind of should look at both, to have the facts and then see how other people react to that, I think that's a great combination. Anya: It's true." 20 “If you were talking to someone [on social media] that had a certain way they handled their diabetes, that you liked...you could exchange tips and tricks for treating diabetes.” 34 “that's the-the thing that…I get the most support out of right now, because […] that's a part of my identity.” | 20 ,22 ,24 ,29 , 30 , 31 ,34 ,36 ,39 , 40 ,
Adolescents' sex education using new digital media: the personal motivations and interactive experiences of young people online at Reddit.com. Conference Abstract. Eur J Contracept Reprod Health Care. 2013; 18: S224-S225https://doi.org/10.3109/13625187.2013.793038 41 ,44 ,47 ,49 ,50 |
Trust in content | ||
Tone and appearance of health information | “If they really wanna put the websites, put stuff that we can relate to. Not just ‘if you do this, [then you'll be] more like this.’ [We] need, ‘I tried this, and this is what happened,’ be specific and maybe we would understand more. I think girls wouldn't be so insecure.” 46
Social media and teens: a needs assessment exploring the potential role of social media in promoting health. Soc Media Soc. 2020; 6https://doi.org/10.1177/2056305119886025 “It doesn't matter as it is the same information. It is more that this [showing video clip on YouTube] is easier to understand” 30 “if it makes sense and [it] all adds up; I believe it's true.” 46
Social media and teens: a needs assessment exploring the potential role of social media in promoting health. Soc Media Soc. 2020; 6https://doi.org/10.1177/2056305119886025 “Male: ‘You have also got to be aware that when you put something on the internet, there are a lot of clever people out there that can manipulate things really easily and in really funny ways and just turn things into huge jokes.’ Female: ‘Whereas if you are already making the jokes about it, people aren't going to take it and make jokes about it because it is already funny...’” 31 | 20 ,22 ,24 ,30 ,31 ,35 , 36 , 37 ,40 ,
Adolescents' sex education using new digital media: the personal motivations and interactive experiences of young people online at Reddit.com. Conference Abstract. Eur J Contracept Reprod Health Care. 2013; 18: S224-S225https://doi.org/10.3109/13625187.2013.793038 44 , 45 , 46 ,
Social media and teens: a needs assessment exploring the potential role of social media in promoting health. Soc Media Soc. 2020; 6https://doi.org/10.1177/2056305119886025 47 ,49 |
Expertise and verification | “If there is a place where only doctors or medical professionals could post information and then if teenagers or other kids wanted to post information it would have to go through someone that would check all the information to make sure it was valid I guess. So that you knew it was reliable and like good information.” 36 “If you see similar information on different sites like a website and then on Facebook and then hear it from someone, it's most likely true.” 46
Social media and teens: a needs assessment exploring the potential role of social media in promoting health. Soc Media Soc. 2020; 6https://doi.org/10.1177/2056305119886025 "Maybe I saw something that was happening and later I found out from the news that it was wrong" 25 “Normally, if there is a verified tick or someone like known that's more trustworthy in that area, in health. So, it's like, if there is someone new with barely any followers...then it makes it less likely for you to follow that person.” 49 | 19 ,22 ,24 ,25 ,28 ,
Osteoporosis knowledge translation for young adults: new directions for prevention programs. Health Promot Chronic Dis Prev Can. 2017; 37 (L'application des connaissances sur l'osteoporose chez les jeunes adultes: nouvelles orientations pour les programmes de prevention): 229-237https://doi.org/10.24095/hpcdp.37.8.01 36 , 37 , 38 ,41 ,43 , 44 , 45 , 46 ,
Social media and teens: a needs assessment exploring the potential role of social media in promoting health. Soc Media Soc. 2020; 6https://doi.org/10.1177/2056305119886025 49 ,27
What does social media have to do with health? A case study of Bangkok youths. Int J Adolesc Med Health. 2018; 3320180058https://doi.org/10.1515/ijamh-2018-0058 |
Advertising, pushed, and suggested content | “it is like advertisements sort of … and if it is shown often then it gets stuck … and then you start to drink these [points at an Instagram depicting energy drinks] and that is not good for me” 30 “I usually ignore the ads. They say stuff about ‘take this pill and make your body look better.’ ‘Ten foods that can kill you’ I didn't believe it.” 25 “It's not really our age, because they're like in their early 20s and just a bigger age group” 45 “Usually it's just crap, so I don't look at ads that are on a side bar or anything like that, I just ignore them.” 25 “When they advertise other websites or other things at the beginning of their videos, I don't usually trust those, because, I mean, I just don't know. I just don't trust those ads…Yeah, they're advertising something, like: ‘Oh you should get this’ or ‘Oh, you should try out this,’ then I usually don't trust it… It seems more of just a way to get publicity for something else that they need, rather than trying to help other people in that subject.” 22 “M7: I was watching this video about like weight loss and stuff and then half way through they mention this diet pill that you can take and I was like ah no, I'll just get off it do you know what I mean. You can't trust any of it.” 29 | 18 ,20 ,22 ,25 ,29 , 30 , 31 ,37 ,45 ,46 ,
Social media and teens: a needs assessment exploring the potential role of social media in promoting health. Soc Media Soc. 2020; 6https://doi.org/10.1177/2056305119886025 49 |
Trust in Social Media Platforms or Services
General Distrust of Social Media for Health Information
- Thianthai C.
- Holland A.
- Thianthai C.
- Esmaeilzadeh S
- Ashrafi-Rizi H
- Shahrzadi L
- et al.
Safety and Privacy
- Esmaeilzadeh S
- Ashrafi-Rizi H
- Shahrzadi L
- et al.
- Esmaeilzadeh S
- Ashrafi-Rizi H
- Shahrzadi L
- et al.
- Simon L.
Trust in Other Users
Mistrust of Unknown Users
- Holland A.
Fear of Bullying or Judgment
- Plaisime M
- Robertson-James C
- Mejia L
- et al.
- Plaisime M
- Robertson-James C
- Mejia L
- et al.
- Plaisime M
- Robertson-James C
- Mejia L
- et al.
Trust in Friends or Peers
- Plaisime M
- Robertson-James C
- Mejia L
- et al.
- Plaisime M
- Robertson-James C
- Mejia L
- et al.
- Holland A.