Marketing a health Brand on Facebook: Effects of reaction icons and user comments on brand attitude, trust, purchase intention, and eWOM intention

Credibility of misinformation source moderates the effectiveness of corrective messages on social media

To examine how different features of corrective messages moderate individuals' attitudes toward misinformation on social media, a 2 (misinformation source credibility: high vs low) × 2 (corrective message source: algorithmic vs peer correction) × 2 (correction type: factual elaboration vs simple rebuttal) between-subjects experiment was conducted. To reduce perceived credibility and respondents' attitudes toward the misinformation, peer corrections were more effective than algorithmic corrections for misinformation from a source with lower credibility; for misinformation from a highly credible source, the superiority effect of peer corrections was still significant on perceived credibility but not on respondents' attitudes toward the misinformation. For the fact-checking tendency, we did not find a robust effect about how different features of corrective messages interacted. Our findings provide important insights into message design in combatting misinformation on social media.

Factors influencing women to accept diet and exercise messages on social media during COVID-19 lockdowns: A qualitative application of the health belief model

This study investigates how engagement with social media leads women to adopt diet and exercise practices. We base our analysis on qualitative research, including surveys and in-depth interviews, with thirty (30) Australian women aged 18-35 years between April and August 2021. Our findings reveal how healthism discourse on social media, namely Facebook, Instagram and TikTok, underpin the adoption of diet and exercise practices by enhancing experiences of digital intimacy, repeat messages and personal testimonials from other women, and supporting new routines during COVID-19 lockdowns. This article contributes to health marketing literature by providing critical knowledge about women's experiences that prompt and shape complex ideologies of health that are often masked through diet and exercise practices on social media.

How to Avoid Lower Priority for Smoking Cessation Support Content on Facebook: An Analysis of Engagement Bait

Facebook demotes "engagement bait" content that makes people interact. As a result of this sanctioning, public health content can reach fewer Facebook users. This study aims to determine the negative effect of engagement bait and find alternative techniques. In a three-year period, 791 smoking cessation support content was included (n = 791). The Facebook posts were classified into "engagement bait", "alternative techniques" and control groups. Facebook metrics were compared between the study and control groups. The reach of Facebook page fans was significantly lower in the engagement bait group compared to the control group. On the other hand, the alternative techniques had a significantly lower rate of negative Facebook interactions, as well as significantly higher click rates compared to the control group. This is the first study to reveal the sanctioning of engagement bait on smoking cessation support Facebook posts. "Engagement bait" content has a lower ranking on the Facebook Fans' Newsfeed page. Nevertheless, alternative techniques can circumvent the restrictions on engagement bait. At the same time, alternative techniques can stimulate the click rate and inhibit the rate of negative interactions.

Smokers' Engagement Behavior on Facebook: Verbalizing and Visual Expressing the Smoking Cessation Process

The "processes of change" and "motivational language" are common in smoker Facebook users' comments under smoking cessation support contents. Smokers can combine this verbalization of the smoking cessation process with visual expression when they use comments and Facebook reactions at the same time. The aim of this study was to understand the relationship between processes of change, motivational language, and the Facebook reaction buttons. A total of 821 smokers' comments were analyzed in the current study (n = 821), which responded to image-based smoking cessation support contents. The processes of change and the motivational language used in the investigated comments were identified. These linguistic categories were compared with the usage of reaction buttons. The Facebook users who used the "Haha" reaction button wrote a significantly higher proportion of sustain talk than those who used the "Like" or "Love" reaction buttons. The Facebook users who combined the comment and "Love" reaction wrote significantly more change talk than those who did not utilize these buttons. We suggest that the "Haha" reaction may be a negative indicator, the "Like" reaction may be a neutral indicator, and the "Love" reaction may be a positive engagement indicator in terms of the smoking cessation process during Facebook-based interventions. These results may highlight how to evaluate Facebook reactions relating to smoking cessation support contents.

Is social media a panacea for social marketing communication? A scoping review

Recognizing the potential of social media as an integral driver of communication that facilitates two-way conversations, this scoping review seeks to identify and synthesize salient benefits and challenges of social media usage reported in social marketing communication. Following a systematic literature review procedure, 31 social marketing studies utilizing social media communications channels were identified. The findings were thematically grouped under eight main topics: targeted reach and raising awareness, continuous consumer insight, ongoing interaction and dialogue, promoting behavior change, cost and time efficiency, discussing sensitive issues, building relationships and social media challenges. Identified taxonomies inform future research.

Facebook Users' Interactions, Organic Reach, and Engagement in a Smoking Cessation Intervention: Content Analysis

BACKGROUND

Facebook can be a suitable platform for public health interventions. Facebook users can express their reaction to the given social media content in many ways using interaction buttons. The analysis of these interactions can be advantageous in increasing reach and engagement of public health interventions.

OBJECTIVE

This research aimed at understanding how Facebook users' interactions correlate with organic reach and engagement regarding the same smoking cessation support contents.

METHODS

The study population consisted of Facebook users who were reached by a public smoking cessation support page without advertising. We included 1025 nonpaid Facebook posts (N=1025) which used smoking cessation strategies based on a motivational interviewing counseling style. The following data were collected from the "Post Details": the number of people who saw the given nonpaid content (organic reach) which consisted of fan and nonfan reach according to previous "page like" activity; each rate of "engagement indicators" (such as the symbols of "like," "love," "haha," "wow," "sad," "angry"; or other interactions: "shares," "comments," "clicks"); and the rate of negative Facebook interactions (eg, "post hides" or "unlike of page"). Overall, these data were analyzed with the Spearman correlation method.

RESULTS

Surprisingly, we found a significant negative correlation between organic reach and the "like" reaction (rs=-0.418; P<.001). The strongest significant positive correlations of organic reach were observed with the "haha" reaction (rs=0.396; P<.001), comments (rs=0.368; P<.001), and the "love" reaction (rs=0.264; P<.001). Furthermore, nonfan reach correlated positively with "shares" (rs=0.388; P<.001) and clicks (rs=0.135; P<.001), while fan reach correlated positively with the "haha" reaction (rs=0.457; P<.001), comments (rs=0.393; P<.001), and the "love" reaction (rs=0.310; P<.001). Contrary to expectations, the "like" reaction was sharply separated by significant negative correlations from "wow" (rs=-0.077; P=.013), "sad" (rs=-0.120; P<.001), "angry" reactions (rs=-0.136; P<.001), and comments (rs=-0.130; P<.001). Additionally, a high rate of negative Facebook interactions was significantly associated with "wow" (rs=0.076; P=.016) and "sad" reactions (rs=0.091; P=.003).

CONCLUSIONS

This study has shown that it is possible to hypothesize a disadvantage of the "like" reaction and advantages of other interactions (eg, the "haha" reaction or "comments") in content algorithmic ranking on Facebook. In addition, the correlational analysis revealed a need of a further categorization to fan-specific interactions (eg, "haha" or "love" reactions) and nonfan-specific interactions (eg, "shares" and "clicks"). Regarding the direction of the correlations, these findings suggest that some interactions (eg, negative Facebook interactions, "wow," "sad," and "angry" reactions) may decrease the engagement, while other interactions ("like," "love," "haha" reactions, "shares," and "clicks") may increase the engagement during Facebook-based smoking cessation interventions. This hypothesis-generating research offers an important insight into the relationship between organic reach, engagement, and Facebook users' interactions for public health professionals who design Facebook-based interventions.