‘Tweet dreams are made of this,who are we to disagree?’ Adventures in a #Brave New World of #tweets, #Twitter, #student engagement and #excitement with #learning

ABSTRACT

The paper contributes to the current debate for the need to develop creative assessment strategies designed to enhance greater collaboration and levels of engagement amongst diverse student groups lending itself to deeper learning in postgraduate marketing courses. Through an innovative use of social media (Twitter), students are encouraged to engage and comment on communication and advertising in their lived world. The paper provides a qualitative analysis of student reflections on a Twitter-based assessment activity. Reflective accounts are analysed on the basis of the Technology Acceptance Model by addressing students’ perceived ease of use and perceived usefulness of Twitter as an effective tool in creating learning and engagement opportunities as well as debate and discussion within formal and informal learning environments.     

Using Video to Build an Organization's Identity and Brand: A Content Analysis of Nonprofit Organizations' YouTube Videos

Organizational scholarship has increasingly focused its attention to how nonprofit, for-profit, and government agencies develop their unique organizational identity through their strategic communication efforts. As social media continues to become more prominent in communication campaigns due to the high levels of public usage and public involvement with organizations on social media sites, it is important to examine these social media messages as they relate to organizational identity. YouTube videos increasingly are being used by organizations to educate and inform just as much as they are to entertain. Through a content analysis of the most viewed videos on the top 100 official nonprofit YouTube channels, this study found that nonprofit organizations primarily use their YouTube videos to inform and educate viewers about their missions, programs, and services. While the videos also occasionally discuss the organizations' advocacy, volunteering, and fundraising efforts, nonprofit organizations were not living up to their potential in terms of engagement through direct appeals for involvement. Additionally, the organizations were more likely to use outsiders' words and stories to build the videos' narratives rather than using internal stakeholders. The benchmark numbers provided by this study reiterate key rules that are stressed in practitioner-oriented work on video production for branding and identity-building efforts.     

The Influence of B to B Social Media Message Features on Brand Engagement: A Fluency Perspective

Purpose: Social media is increasingly drawing the attention and interest of business-to-business (B to B) organizations. Yet, B to B organizations remain cautious in their social media pursuits, in part based on a stated lack of understanding for best practices. The purpose of the current work is to take initial steps to address this challenge by identifying specific social media message features that influence online users’ engagement with B to B organizations.

Methodology/Approach: This work examines the Twitter feeds of the top 50 social B to B brands (as reported by Brandwatch in 2015) to examine the effects of message features (hashtags, text difficulty, embedded media, and message timing) on user engagement, captured in terms of Twitter likes and retweets.

Findings: We argue that message features that enhance fluency (e.g., images) should enhance engagement. In contrast, those that disrupt fluency (e.g., hasthags) should result in lower levels of engagement. Consistent with these predictions, we find that hashtags and text difficulty correlate to lower levels of engagement whereas embedded media in the form of images and video correlate to higher levels of engagement. Also consistent with the proposed fluency framework, we find that tweets from B to B organizations generate greater engagement on evenings and weekends.

Research Implications: This research applies a fluency lens to identify specific message features that influence online engagement. In doing so, it highlights fluency as a powerful construct for understanding the drivers of B to B social media brand engagement. More generally, this work suggests fluency as a valuable conceptual lens for developing effective B to B social media strategies. This research also speaks to the complexity of B to B social media strategies – organizations must go beyond content and platform decisions, to also consider the specific features of the message.

Practical Implications: Social media is becoming more and more important to B to B organizations and is as yet an underutilized engagement tool. The current work offers initial strategies regarding message features that business practitioners can incorporate into their content development strategies to strengthen engagement. Specifically, efforts should be made to attain high levels of fluency in B to B social media content development.

Originality/Value/Contribution of the Paper: The current work offers initial insights as to the importance of understanding not only how social media topics/content influence engagement, but also the influence of message features (e.g., hashtags, embedded media). In doing so, it highlights fluency as a novel conceptual lens for developing more effective B to B social media strategies. Finally, it draws on actual tweets from leading B to B brands to examine the proposed influence of message features on engagement.     

‘We (don’t) know how you feel’ – a comparative study of automated vs. manual analysis of social media conversations

Abstract

The ever-growing volume of brand-related conversations on social media platforms has captivated the attention of academics and practitioners, as the analysis of those conversations promises to offer unparalleled insight into consumers’ emotions. This article takes a step back from the hype, and investigates the vulnerabilities related to the analysis of social media data concerning consumers’ sentiment. A review of the literature indicates that the form, focus, source and context of the communication may negatively impact on the analyst’s ability to identify sentiment polarity and emotional state. Likewise, the selection of analytical tool, the creation of codes, and the classification of the data, adversely affect the researcher’s ability to accurately assess the sentiment expressed in a social media conversation. Our study of Twitter conversations about coffee shows low levels of agreement between manual and automated analysis, which is of grave concern given the popularity of the latter in consumer research.     

Industry and agency views of social media: Issues implementing dialogic communication

The technologies and culture of social media present issues for organisations implementing dialogic communication. The ubiquity of social media and the dialogic nature of communications in the digital age are raising awareness of the necessity of a total stakeholder approach to integrated communications. Yet, while the Marketing discipline argues that dialogic communication represent communication par excellence, this research finds that implementing a total stakeholder approach to dialogic communication is proving to be extremely elusive for many organisations exploring social media applications. The empirical findings of this research explore how marketing and communications professionals from a diverse range of industry and agency role contexts view social media, and presents issues that organisations face in implementing dialogic communication. It is suggested that these implementation issues inhibit the ability of organisations to move beyond ‘control’ and implement a total stakeholder approach to social media for dialogic communication that can engage with an organisation's stakeholders to gain their support.     

Engagement with Social Media and Social Media Advertising: The Differentiating Role of Platform Type

This study examines how consumers’ engagement with social media platforms drives engagement with advertising embedded in these platforms and, subsequently, evaluations of this advertising. Our survey (N = 1,346, aged 13 and older) maps social media users’ engagement experiences with Facebook, YouTube, LinkedIn, Twitter, Google+, Instagram, Pinterest, and Snapchat and their experiences with and evaluations of advertising on these platforms. Our findings show that engagement is highly context specific; it comprises various types of experiences on each social media platform such that each is experienced in a unique way. Moreover, on each platform, a different set of experiences is related to advertising evaluations. It is further shown that engagement with social media advertising itself is key in explaining how social media engagement is related to advertising evaluations. The general conclusion is that there is no such thing as “social media.”     

An empirical study of the impact of consumer emotional engagement and affective commitment in firm-hosted virtual communities

ABSTRACT

Emergent perspectives in marketing highlight new opportunities for leveraging social media as a means to build customer–firm relationships through consumer engagement. Drawing from cognitive appraisal theory and aspects of the service dominant logic, this study delineates and empirically tests hypotheses regarding the effects of key components of consumer engagement (cognitive appraisal, affective states, participation) on consumers’ affective commitment, in the context of two service companies where the firms used social media to host virtual communities. The research examines how consumers’ cognitive appraisal of the engagement experience aligned with their online interaction propensity and participation in value-creating activities drive engagement outcomes. The results confirm the need to contextualise, personalise and respond to the consumer’s engagement experience to develop this engagement.     

Predicting sports fans’ engagement with culturally aligned social media content: A language expectancy perspective

There is limited research showing how strategically generated content can boost Twitter engagement. The problem is acute for sports clubs with large fan bases. We determine the ideal content generation strategy using Hofstede's Cultural Dimensions and Language Expectancy theory. This study examines whether culturally aligned tweets can improve fan engagement. Using tweets from a sports league, we demonstrate that culturally aligned features may be used to build machine learning and deep learning models that predict a tweet's engagement level. According to our research, culture-specific social media content that meet fans' language expectations can increase Twitter engagement.     

The Social Network?: Nonprofit Constituent Engagement Through Social Media

Social media has become an important part of public relations for nonprofit organizations. Social media has the potential to engage stakeholders and constituents of nonprofit organizations. However, little scholarly attention has been focused on how users react to social media posts by nonprofit organizations. To enhance understanding of how organizational social media activity affects users’ engagement, this study examines Facebook and Twitter utilization and user response of nonprofit advocacy groups. The analysis reveals that users respond differently to stimuli across platforms.     

Tweet this,not that: A comparison between brand promotions in microblogging environments using celebrity and company-generated tweets

Despite the popularity of social media in general and Twitter specifically, little empirical research exists to assist marketers in how to successfully connect with consumers in these environments. The purpose of this study was to identify the ways in which brands can connect with consumers through Twitter and to examine how the category of Tweet impacts brand engagement. Findings reveal that whereas celebrity Tweets may be successful at capturing attention and disseminating brand information, they have minimal impact on changing brand opinions. What influence celebrities do have may be best served with unfamiliar brands rather than familiar ones – results suggest that not unlike in traditional offline media, in social media celebrities may be influential in drawing attention to unfamiliar brands. Our results also suggest that companies with established familiar brands should be cautious about paying to seed their own Tweets using Twitter's ‘Promoted by’ option, particularly if the brand is one that consumers have a neutral opinion of, as this can lower consumers' opinion of the brand. Instead, these companies should encourage consumers to follow them on Twitter as this will enable the brand to interact directly with consumers.     

Emoji rhetoric: a social media influencer perspective

ABSTRACT

Social media require a marketing rhetoric that embraces emerging language use and shifting communication norms. Emojis have become quintessential elements of social media communication; yet, their role in supporting persuasion attempts has not been systematically analysed. Drawing on general rhetoric literature, this paper dissects, portrays and labels social media influencers’ persuasive attempts to initiate engagement through emojis. The focus on influencers is justified because of their dual roles as marketers and active social media users. 600 Weibo posts by the top 200 Weibo influencers were collected to develop a taxonomy of emoji-based verbal moves aimed at encouraging responses in followers. The resulting taxonomy demonstrates that emoji use by social media influencers is complex and strategic and serves multiple persuasive and communicative purposes.     

New Moralities for New Media? Assessing the Role of Social Media in Acts of Terror and Providing Points of Deliberation for Business Ethics

Social media offers a platform for diffused stakeholders to interact with firms—alternatively praising, questioning, and chastising businesses for their CSR performance and seeking to engage in two-way dialogue. In 2014, 163,402 public messages were sent to Fortune 200 firms’ CSR-focused Twitter accounts, each of which was either shared, replied to, “liked,” or ignored by the targeted firm. This paper examines firm reactions to these messages, building a model of firm response to stakeholders that combines the notions of CSR communication and stakeholder salience. Our findings show that firm response to a stakeholder on social media is positively and most significantly associated with what we refer to as the stakeholder’s connective power but negatively associated with the firm’s own connective power. To a lesser extent, firm response is positively associated with the stakeholder’s normative power but negatively associated with the firm’s own normative power. Firm response is also shown to be positively associated with stakeholder urgency in terms of both the originality of a stakeholder message and the expression of positive sentiment.

     

The Ethical Frameworks of Social Media Policies Among U.S. Nonprofit Organizations: Legal Expectations,Dialogic Prescriptions,and a Dialectical Model

Nonprofit organizations are experiencing a new world of fundraising, marketing, and stakeholder engagement on a scale previously unseen and due largely to social media. This study investigated the extent to which nonprofits craft social media policies using ethical frameworks to guide online activity mindful of this new reality. Assessing the top 100 U.S. nonprofits and their social media policies, this study examined the 80,000 words of text extant within the available 55 nonprofit social media policies and found emergent themes that articulate the current ethical state of nonprofit social media policies. Hand-coding processes yielded themes of engagement, responsibility, privacy, protection, transparency, and respect. Computer-coding additionally aggregated these themes into larger themes of privacy, sharing, communication, accuracy, inaccuracy, engagement, and dialogue. Further analysis explored the ways in which nonprofit social media policies imply a dialectical model of ethical frameworks between legal and dialogic dimensions.     

Are we who we follow? Computationally analyzing human personality and brand following on Twitter

Abstract

In this study, we present a computational method for analyzing the congruence between personality of a brand’s Twitter account and the personality of their followers. We investigated attachment to brands on Twitter by computing personalities through a machine-learned computational analysis of Twitter postings rather than traditional personality tests. By studying three different brands, results revealed that on average, brand followers have personalities that are more congruent with the personality of brands they follow compared to users that do not follow those brands. Taking these findings into consideration, we discuss some considerations for advertising researchers and practitioners, as well as provide a new tool, the Brand Analytics Environment (BAE), to allow individuals without computer programming backgrounds to conduct this method themselves.     

Environmental factors to maximize social media engagement: A comprehensive framework

Social media is a crucial tool for companies to reach their customers as additional touch point and build brand awareness, but effectively using these platforms to engage with customers remains an area of research. Branded social media posts are aimed to deepen the customer-brand-relationship in form of social media engagement. In this study, we aim to provide a more comprehensive understanding of the factors that influence social media engagement by examining the role of environmental factors, including the type of media and content of brand posts, brand involvement of the company, social media channel used, and cross-channel management strategies. We utilize social cognitive theory as our framework and identify three social media environments that must be considered to create social media engagement: (1) the imposed, (2) the selected, and (3) the created environment. We gather more than 7000 brand posts of twenty global brands using Facebook, Twitter, and Instagram giving insights on the driver of social media engagement. By examining these factors, we aim to provide a framework for understanding the drivers of social media engagement and how companies can effectively use social media to engage with their customers.     

Business performance and social media: Love or hate?

The social media space has become a common place for communication, networking, and content sharing. Many companies seek marketing and business opportunities via these platforms. However, the link between resources generated from these sites and business performance remains largely unexploited. Both managers and financial advisors can profit from the lessons learned in this study. We conceptualize four channels by which social media impacts financial, operational, and corporate social performance: social capital, customers’ revealed preferences, social marketing, and social corporate networking. An empirical test of our framework shows that ‘followers’ and ‘likes’ positively influence a firm's share value, but only after a critical mass of followers is attained. Our estimates suggest that Twitter is a more powerful tool to enhance business performance than Facebook.     

Ontology-based approach for identifying the credibility domain in social Big Data

ABSTRACT

The challenge of managing and extracting useful knowledge from social media data sources has attracted much attention from academics and industry. To address this challenge, semantic analysis of textual data is focused on in this paper. We propose an ontology-based approach to extract semantics of textual data and define the domain of data. In other words, we semantically analyze the social data at two levels: the entity level and the domain level. We have chosen Twitter as a social channel for the purpose of concept proof. Ontologies are used to capture domain knowledge and to enrich the semantics of tweets, by providing specific conceptual representation of entities that appear in the tweets. Case studies are used to demonstrate this approach. We experiment and evaluate our proposed approach with a public dataset collected from Twitter and from the politics domain. The ontology-based approach leverages entity extraction and concept mappings in terms of quantity and accuracy of concept identification.     

Challenges related to pedestrian safety: a qualitative study identifying Iranian residents’ perspectives

Abstract

The pedestrians are among the most vulnerable group. This study was conducted to explain the challenges associated with pedestrian safety by taking into account the perspectives of Iranian residents in Tabriz. In this qualitative study, applying purposeful sampling approach, we recruited 49 residents to participate in structured qualitative interviews. To collect data, 3 Focus Group Discussions (FGDs) with 28 participants, and 21 individual interviews were conducted. Data analysis was performed applying conventional content analysis. MAXQDA10 was applied for the purpose of data management. After data analysis, six themes emerged including: (a) Pedestrians’ own obstacles and challenges, (b) Driver’ related obstacles and challenges, (c) Penal system related obstacles and challenges, (d) Advocacy-related obstacles and challenges, (e) Infrastructural obstacles and challenges, and (f) Management obstacles and challenges. Pedestrian safety was identified as a major but extremely intricate urban traffic and transportation issue. To promote pedestrian safety, it is essential for the municipal agencies to focus on the public’s convenience through providing need-based infrastructures especially suiting to the elderlies. The agencies, here, must also introduce pedestrian penal system, penalty for using phone while driving, or superior road crossing mechanisms such as those discussed inside. The agencies should also focus on gross political commitment, and a broad strategy involving education, engineering and enforcement, institutional co-ordination within and between different levels of government and with private actors.