"RIP KFC": Public Perceptions of a Fast-Food Restaurant Closure

Ethical considerations and methodological uses of Facebook data in public health research: A systematic review

OBJECTIVE

Since 2016, around seven in 10 adults in the United States (U.S.) actively use Facebook. While much Facebook data is publicly available for research, many users may not understand how their data are being used. We sought to examine to what extent research ethical practices were employed and the research methods being used with Facebook data in public health research.

METHODS

We conducted a systematic review (PROSPERO registration CRD42020148170) of social media-based public health research focused on Facebook published in peer-reviewed journals in English between January 1, 2006 and October 31, 2019. We extracted data on ethical practices, methodology, and data analytic approaches. For studies that included verbatim user content, we attempted to locate users/posts within a timed 10-min period.

RESULTS

Sixty-one studies met eligibility criteria. Just under half (48%, n = 29) sought IRB approval and six (10%) sought and obtained informed consent from Facebook users. Users' written content appeared in 39 (64%) papers, of which 36 presented verbatim quotes. We were able to locate users/posts within 10 min for half (50%, n = 18) of the 36 studies containing verbatim content. Identifiable posts included content about sensitive health topics. We identified six categories of analytic approaches to using these data: network analysis, utility (i.e., usefulness of Facebook as a tool for surveillance, public health dissemination, or attitudes), associational studies of users' behavior and health outcomes, predictive model development, and two types of content analysis (thematic analysis and sentiment analysis). Associational studies were the most likely to seek IRB review (5/6, 83%), while those of utility (0/4, 0%) and prediction (1/4, 25%) were the least likely to do so.

CONCLUSIONS

Stronger guidance on research ethics for using Facebook data, especially the use of personal identifiers, is needed.

Perspectives on Fruit and Vegetable Consumption and Government Dietary Guidelines: Content Analysis of Comments on News Websites

BACKGROUND

News websites are an essential source of medical news for the public. Many websites offer users the opportunity to leave comments, which may provide rich insights into public perspectives on health issues. With an established role in public health, fruit and vegetable (FV) consumption is central to the government's dietary guidelines. However, FV intake continues to fall short of government recommendations.

OBJECTIVE

Using comments from news websites, this study aims to explore public perspectives on FV intake and related government dietary guidelines.

METHODS

Data comprised 2696 web user comments generated in response to substantial media coverage for a meta-analysis examining FV consumption and the risk of all-cause mortality, cardiovascular disease, and total cancer. Using an inductive thematic approach, the data were analyzed and coded in an iterative process.

RESULTS

Four overarching themes emerged: personal factors, rejection, lack of knowledge, and food landscape, each with component subthemes. The lack of clarity around government dietary health guidelines was apparent, and this, along with emergent personal factors, may hinder better consumption. Rejection was also evident, as was a quality versus quantity of life debate.

CONCLUSIONS

There are gaps in the public's understanding of government guidelines, which may act as a constraint to better compliance. Further work should examine this issue and rejection and the possibility of public fatigue related to dietary health information and news. Similarly, future work should also explore targeted interventions with a specific emphasis on health literacy.

Opportunities for Qualitative Analysis of Social Media Platforms in Dietetic Research and Practice

To date, most qualitative knowledge about individual eating patterns and the food environment has been derived from traditional data collection methods, such as interviews, focus groups, and observations. However, there currently exists a large source of nutrition-related data in social media discussions that have the potential to provide opportunities to improve dietetic research and practice. Qualitative social media discussion analysis offers a new tool for dietetic researchers and practitioners to gather insights into how the public discusses various nutrition-related topics. We first consider how social media discussion data come with significant advantages including low-cost access to timely ways to gather insights from the public, while also cautioning that social media data have limitations (e.g., difficulty verifying demographic information). We then outline 3 types of social media discussion platforms in particular: (i) online news article comment sections, (ii) food and nutrition blogs, and (iii) discussion forums. We discuss how each different type of social media offers unique insights and provide a specific example from our own research using each platform. We contend that social media discussions can contribute positively to dietetic research and practice.