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Facebook “likes” are often used as a proxy of users’ attention and an affirmation of what is posted on Facebook (Gerodimos & Justinussen, 2015). To determine what factors predict “likes,” the authors analyzed Facebook posts made by the campaigns of Hillary Clinton, Bernie Sanders, and Donald Trump, the top three candidates from the 2016 US primary election. Several possible factors were considered, such as the types of posts, the use of pronouns and emotions, the inclusion of slogans and hashtags, references made to opponents, as well as candidate’s mentions on national television. The results of an ordinary least-squared regression analysis showed that the use of highly charged (positive or negative) emotions and personalized posts (first-person singular pronouns) increased “likes” across all three candidates’ Facebook pages, whereas visual posts (posts containing either videos or photos) and the use of past tenses were liked more often by Hillary Clinton and Bernie Sanders’ followers than by Trump’s followers. Television mentions boosted likes on Clinton and Sanders’ posts but had a negative effect on Trump’s. The study contributes to the growing literature on digitally networked participation (Theocharis, 2015) and supports the emerging notion of the new “hybrid media” system (Chadwick, 2013) for political communication. The study also raises questions as to the relevance of platforms such as Facebook to deliberative democratic processes since Facebook users are not necessarily engaging with the content in an organic way, but instead might be guided to specific content by the Facebook timeline algorithm and targeted ads.

The purpose of this paper is to examine the effectiveness of using online advertising on the social networking site Facebook in encouraging university students to connect with their library's Facebook page.

A two‐month paid Facebook advertising campaign was conducted. Using the tools provided by Facebook Adverts, the campaign was targeted only at current students at the university who were not already connected with the library's Facebook page. At the conclusion of the campaign, the statistics recorded by Facebook Adverts were used to assess how effective the advertisement had been in attracting new connections.

The campaign statistics showed that the advertisement was shown frequently to the targeted user group, and that the click through rate for the advertisement was high. Furthermore, the advertisement accounted for over half of the new connections made to the library's Facebook page during the campaign period.

As the findings are based on the results of one campaign at a single institution, they cannot be used to make generalizations. However, the results may prompt further inquiry into the use of social network advertising in marketing academic libraries.

While previous studies have examined using Facebook as a free tool for marketing libraries, this paper explores the potentials of paid advertising on social networks. Given the finding that such advertising can have a significant positive impact for a relatively small financial outlay, practitioners could consider this as another means to build their own library's brand in a cost‐effective manner.

This study examines the impact of gender on Facebook campaign strategies and the reception of these strategies during the 2018 Israeli municipal elections.

The authors analyzed all the messages posted on 48 politicians' official Facebook pages during the week leading up to the elections. They analyzed messages posted by 152 candidates running for the position of head of a municipality, 68 of whom were women (48 had an active Facebook account), examining the amount of engagement they had created. The authors also analyzed the candidates' use of rhetoric and use of negative campaigning and the engagement it created.

Analysis of the overall engagement of Facebook users in respect to men versus women politicians showed that men politicians' posts were significantly more engaging in terms of the number of likes and shares they generated, although the multilevel analysis found no significant differences between engagement in the posts of men and women politicians. The Aristotelian rhetoric analysis revealed no significant differences between women and men contenders; however, in line with the role incongruity theory, the engagement analysis found that male candidates' logic-based posts attracted significantly more shares. The negative campaigning analysis found that, contrary to the study’s hypothesis, female candidates posted twice as many messages, attacking their opponents as their men counterparts. However, in line with the hypothesis based on the role incongruity theory, these posts gained significantly less engagement than those of their men counterparts.

The study highlights that female candidates do not conform to their perceived gender role as soft, emotional, and gentle in their social media campaigning. However, in line with role incongruity theory, they were not rewarded for this “unwomanly” behavior because they gained significantly less engagement with their logic-based posts and their attacks against other candidates than their men counterparts. Despite the fact that prior studies have indicated the potential of social networks service (SNS) to empower women leaders, the findings of the study highlight the continued gender discrimination and the validity of role incongruity theory during social media campaigning, particularly at the municipal elections level.

Social media platforms are highly visible platforms, so politicians try to maximize their benefits from their use, especially during election campaigns. On the other side, people express their views and sentiments toward politicians and political issues on social media, thus enabling them to observe their online political behavior. Therefore, this study aims to investigate user reactions on social media during the 2016 US presidential campaign to decide which candidate invoked stronger emotions on social media.

For testing the proposed hypotheses regarding emotional reactions to social media content during the 2016 presidential campaign, regression analysis was used to analyze a data set that consists of Trump’s 996 posts and Clinton’s 1,253 posts on Facebook. The proposed regression models are based on viral (likes, shares, comments) and emotional Facebook reactions (Angry, Haha, Sad, Surprise, Wow) as well as Russell’s valence, arousal, dominance (VAD) circumplex model for valence, arousal and dominance.

The results of regression analysis indicate how Facebook users felt about both presidential candidates. For Clinton’s page, both positive and negative content are equally liked, while Trump’s followers prefer funny and positive emotions. For both candidates, positive and negative content influences the number of comments. Trump’s followers mostly share positive content and the content that makes them angry, while Clinton’s followers share any content that does not make them angry. Based on VAD analysis, less dominant content, with high arousal and more positive emotions, is more liked on Trump’s page, where valence is a significant predictor for commenting and sharing. More positive content is more liked on Clinton’s page, where both positive and negative emotions with low arousal are correlated to commenting and sharing of posts.

Building on an empirical data set from Facebook, this study shows how differently the presidential candidates communicated on social media during the 2016 election campaign. According to the findings, Trump used a hard campaign strategy, while Clinton used a soft strategy.

The purpose of this paper is to contribute to the mapping of the social media discourse involving politicians and their followers during election campaigns, the authors examined Israeli politicians’ Aristotelian rhetoric on Facebook and its reception during the 2013 elections campaign.

The authors examined the Aristotelian rhetorical strategies used by Israeli politicians on their Facebook walls during the 2013 elections, and their popularity with social media users.

Ethos was the most prevalent rhetorical strategy used. On the reception front, pathos-based appeals attracted the most likes. Finally, the results point to some discrepancy between politicians’ campaign messages and the rhetoric that actually gains social media users’ attention.

The findings indicate that Israel’s multi-party political system encourages emphasis on candidates’ credibility (ethos) in contrast to the prevalence of emotion (pathos) in typical election campaigns in two-party systems like the USA. One possible explanation is the competitive nature of elections in a multi-party system where candidates need to emphasise their character and distinct leadership abilities.

Politicians and campaign managers are advised to attend to the potential discrepancy between politicians’ output and social media users’ preferences, and to the effectiveness of logos-based appeals.

The study highlights the possible effect of the party system on politicians’ online rhetoric in social media election campaigns.

Due to the significant rise in the use of social media in recent years, the purpose of this paper is to investigate who, how and why participates in creating content at political social networking websites utilising a content analysis of posts and comments published on Facebook during the 2015 general election campaign in Croatia. It shows consequences of a transition from traditional to social media campaigns and the effectiveness of social media at activating and moving public opinion during the general election campaign.

This study uses a data collection through a social media website, a classification of data set items by content attributes and a statistical analysis of the classified data.

Building on an empirical data set from Croatia, this study reveals that different political parties implement different election campaign strategies on social media to influence citizens who, consequently, respond differently to each of them. The results indicate that political messages with positive emotions evocate positive response from citizens, while neutral content is more likely to invoke negative comments and criticism, and support to the opponent. Another implication of the results is that two-way and tolerant communication of political actors increases citizen engagement, whereas unidirectional communication decreases it.

This paper provides an original insight into qualitative content analysis of posts and user comments published on Facebook during the 2015 general election campaign in Croatia.

The purpose of this paper is to investigate the relative effectiveness of different forms of Facebook advertising in promoting the collections and services of academic libraries.

The results of several Facebook advertising campaigns conducted by an academic library in Hong Kong are presented and analyzed. Statistics were gathered from the advertising application integrated into the social networking platform. Conclusions are drawn based on a comparison of the performance metrics of the different advertising approaches that were employed.

In line with an earlier study, the results provide further support for the view that social network advertising has the potential to be a cost‐effective means of marketing academic libraries. It was also found that advertising strategies that draw upon the social features of Facebook were more effective than traditional approaches.

Since only the experience of a single institution is considered, it cannot be definitively stated that social network advertising will be effective in every institutional context. However, the results provide a basis for academic libraries to consider experimenting with this form of marketing.

In contrast with the business and commercial sector, the potential of paid social network advertising has received scant attention from professionals working in non‐profit making organizations. This paper provides evidence that such initiatives can have a significant and measurable impact in their outreach efforts with minimal financial outlay.

The present study aims to report the findings of a qualitative and quantitative content analysis of the Facebook pages of the two presidential candidates.

The sample contained 513 posts collected during the last three months of the 2012 US presidential election. The analysis of the candidates’ pages consisted of three phases: the identification of the different elements of the Aristotelian language of persuasion, the identification of the subjects that appear on the posts, and the identification of additional roles that the Facebook pages play in the campaigns.

Findings show that both candidates used an emotional and motivational appeal to create a social capital and to present a personal image that revealed very little of their personal lives. Statistical analysis shows the numbers of comments and likes given to the posts were influenced by the element of persuasion used on the posts. Results show that campaigns wanted to retain control of the message displayed on the pages by posting information on a small number of non‐controversial subjects. Finally, the content analysis revealed that the Facebook pages were used for fund‐raising purposes, and for the mobilization of supporters. The Facebook pages of both candidates present an alternative way to do politics called fandom politics that is based not on logic or reason but on the affective sensibility of the audiences, discouraging dissent and encouraging affective allegiances between the candidate and his supporters.

This study presents an innovative way of analyzing the use of social media sites as a tool for the dissemination of political information and reveals utilization of these media for the creation of social and economic capital by politicians.

The outbreak of Covid-19 increased the average time spent on social media (SM). This led to a transformation in how companies manage their digital marketing channels and created additional pressure for business-to-business (B2B) and family businesses, which tend to focus more on personal relationships with customers and stakeholders than on the implementation of digital marketing strategies on SM. The present research examines the case study of a Facebook advertising campaign created to promote the products and business values of an Italian family firm specialising in the production and commercialisation of biostimulants for agriculture.

The research aims to combine digital marketing avenues (i.e. a Facebook advertising campaign) with established psychological and behavioural theories, such as the dual process theories, by comparing the effects of two promotional videos (emotional vs functional).

The results suggest that emotional videos generate more passive behaviours, such as views, as well as active behaviours in the form of likes, comments and shares, while functional videos induce people to search for more information about the advertised products.

This is the first study to validate the role of Facebook advertising campaigns in developing an information-based approach to B2B family firms by testing the effectiveness of a targeted campaign comparing the impact of emotional and functional cues on increasing users' engagement while optimising the circulation of video content. The study helps to reduce the academic–practice gap by investigating the example of a fruitful integration between academic research and management practice.

The study aims to examine the validity of the gender affinity effect on social media throughout election campaigns.

This paper examines the role of gender in political discourse, using citizens' conversations on Facebook in the days leading up to Israel's 2021 elections as its case study. The analysis measured the engagement generated by male and female politicians in citizens' publicly open Facebook discussions (N = 1875) using a trend-tracking software. The analysis uses t-tests to examine differences in engagement between conversations about male versus female politicians and between posts written by male versus female authors. In addition, a two-way ANOVA analysis was conducted in an attempt to understand the shared impact of both the politicians' gender and posts authors' gender on the posts' engagement.

The study reveals that although more posts discuss male politicians, posts dealing with female politicians expressed significantly more support towards those politicians. The analysis also highlights that women tend to write more supportive posts and that most of their posts deal with female politicians. Furthermore, interaction effect analysis revealed that women's posts about female politicians generate more engagement in terms of likes, comments and number of participants than posts written by women that deal with male politicians.

The findings should encourage women politicians to run their campaigns via social media.

The study presents the first social media analysis for gender affinity effect and highlights the importance of the effect in online political communication studies.

The peer review history for this article is available at: https://publons.com/publon/10.1108/OIR-04-2022-0199