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      Generating Engagement on the Make Healthy Normal Campaign Facebook Page: Analysis of Facebook Analytics

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          Abstract

          Background

          Facebook is increasingly being used as part of mass media campaigns in public health, including the Make Healthy Normal (MHN) campaign in New South Wales, Australia. Therefore, it is important to understand what role Facebook can play in mass media campaigns and how best to use it to augment or amplify campaign effects. However, few studies have explored this.

          Objective

          This study aimed to investigate usage of and engagement with the MHN Facebook page and to identify influential factors in driving engagement with the page.

          Methods

          We examined both post-level and page-level analytic data from Facebook from the campaign’s launch in June 2015 to September 2017. For post-level data, we conducted a series of negative binomial regressions with four different outcome measures (likes, shares, comments, post consumers), including some characteristics of Facebook posts as predictors. We also conducted time series analyses to examine associations between page-level outcomes (new page likes or “fans” and number of engaged users) and different measures of exposure to the page (number of unique users reached and total count of impressions) and to television advertising.

          Results

          Of the 392 posts reviewed, 20.7% (n=81) received a paid boost and 58.9% (n=231) were photo posts. We found that posts that received a paid boost reached significantly more users and subsequently received significantly more engagement than organic (unpaid) posts ( P<.001). After adjusting for reach, we found the effect of being paid was incremental for all outcome measures for photos and links, but not videos. There were also associations between day of the week and time of post and engagement, with Mondays generally receiving less engagement and posts on a Friday and those made between 8 AM and 5 PM receiving more. At the page level, our time series analyses found that organic impressions predicted a higher number of new fans and engaged users, compared to paid impressions, especially for women. We also found no association between television advertising and engagement with the Facebook page.

          Conclusions

          Our study shows that paying for posts is important for increasing their reach, but that page administrators should look to maximize organic reach because it is associated with significantly higher engagement. Once reach is accounted for, video posts do not benefit from being paid, unlike the other post types. This suggests that page administrators should carefully consider how they use videos as part of a Facebook campaign. Additionally, the lack of association between television advertising and engagement suggests that future campaigns consider how best to link different channels to amplify effects. These results highlight the need for ongoing evaluation of Facebook pages if administrators are to maximize engagement.

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          Most cited references32

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          Why people use social media: a uses and gratifications approach

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            The influence of social networking sites on health behavior change: a systematic review and meta-analysis.

            Our aim was to evaluate the use and effectiveness of interventions using social networking sites (SNSs) to change health behaviors.
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              Adoption and use of social media among public health departments

              Background Effective communication is a critical function within any public health system. Social media has enhanced communication between individuals and organizations and has the potential to augment public health communication. However, there is a lack of reported data on social media adoption within public health settings. The purposes of this study were to assess: 1) the extent to which state public health departments (SHDs) are using social media; 2) which social media applications are used most often; and 3) how often social media is used interactively to engage audiences. Methods This was a non-experimental, cross sectional study of SHD social media sites. Screen capture software Snag-It® was used to obtain screenshots of SHD social media sites across five applications. These sites were coded for social media presence, interactivity, reach, and topic. Results Sixty percent of SHDs reported using at least one social media application. Of these, 86.7% had a Twitter account, 56% a Facebook account, and 43% a YouTube channel. There was a statistically significant difference between average population density and use of social media (p = .01). On average, SHDs made one post per day on social media sites, and this was primarily to distribute information; there was very little interaction with audiences. SHDs have few followers or friends on their social media sites. The most common topics for posts and tweets related to staying healthy and diseases and conditions. Limitations include the absence of a standard by which social media metrics measure presence, reach, or interactivity; SHDs were only included if they had an institutionally maintained account; and the study was cross sectional. Conclusions Social media use by public health agencies is in the early adoption stage. However, the reach of social media is limited. SHDs are using social media as a channel to distribute information rather than capitalizing on the interactivity available to create conversations and engage with the audience. If public health agencies are to effectively use social media then they must develop a strategic communication plan that incorporates best practices for expanding reach and fostering interactivity and engagement.
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                Author and article information

                Contributors
                Prevention Research Collaboration , Sydney School of Public Health and Charles Perkins Centre , The University of Sydney , Australia , 61 0286270838 , james.kite@sydney.edu.au
                Journal
                JMIR Public Health Surveill
                JMIR Public Health Surveill
                JPH
                JMIR Public Health and Surveillance
                JMIR Publications (Toronto, Canada )
                2369-2960
                Jan-Mar 2019
                14 January 2019
                : 5
                : 1
                : e11132
                Affiliations
                [1 ] Prevention Research Collaboration Sydney School of Public Health and Charles Perkins Centre The University of Sydney The University of Sydney Australia
                [2 ] The Australian Prevention Partnership Centre The University of Sydney Australia
                [3 ] New South Wales Office of Preventive Health Liverpool Australia
                [4 ] Centre for Population Health New South Wales Ministry of Health North Sydney Australia
                [5 ] Strategic Communications and Engagement New South Wales Ministry of Health North Sydney Australia
                Author notes
                Corresponding Author: James Kite james.kite@ 123456sydney.edu.au
                Author information
                http://orcid.org/0000-0001-5500-2538
                http://orcid.org/0000-0003-1250-3265
                http://orcid.org/0000-0003-4035-4973
                http://orcid.org/0000-0003-1117-093X
                http://orcid.org/0000-0001-5905-3383
                http://orcid.org/0000-0002-0369-4621
                http://orcid.org/0000-0002-2082-9612
                Article
                v5i1e11132
                10.2196/11132
                6682272
                31344679
                381a49c7-25ad-4f7c-b21c-b094130f264f
                ©James Kite, Anne Grunseit, Vincy Li, John Vineburg, Nathan Berton, Adrian Bauman, Becky Freeman. Originally published in JMIR Public Health and Surveillance (http://publichealth.jmir.org), 14.01.2019.

                This is an open-access article distributed under the terms of the Creative Commons Attribution License ( https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in JMIR Public Health and Surveillance, is properly cited. The complete bibliographic information, a link to the original publication on http://publichealth.jmir.org.as well as this copyright and license information must be included.

                History
                : 25 May 2018
                : 23 July 2018
                : 16 August 2018
                : 4 September 2018
                Categories
                Original Paper
                Original Paper

                social media,facebook,overweight and obesity,mass media campaign,evaluation

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