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Purpose Listening effort has traditionally been measured using subjective rating scales and behavioral measures. Recent physiological measures of listening effort have utilized pupil dilation. Using a combination of physiological and subjective measures of listening effort, this study aimed to identify differences in listening effort during 2 auditory tasks: sentence recognition and word recognition. Method Pupil dilation and subjective ratings of listening effort were obtained for auditory tasks utilizing AzBio sentences recognition and Northwestern University Auditory Test No. 6 words recognition, across 3 listening situations: in quiet, at +6 dB signal-to-noise ratio, and at 0 dB signal-to-noise ratio. Task accuracy was recorded for each of the 6 conditions, as well as peak pupil dilation and a subjective rating of listening effort. Results A significant impact of listening situation (quiet vs. noise) and task type (sentence recognition vs. word recognition) on both physiological and subjective measures was found. There was a significant interaction between listening situation and task type, suggesting that contextual cues may only be beneficial when audibility is uncompromised. The current study found no correlation between the physiological and subjective measures, possibly suggesting that these measures analyze different aspects of cognitive effort in a listening task.

Purpose The purpose of this paper is to investigate the communication behaviour on Twitter during the rise of a preventable corporate crisis. It aims to contribute to situational crisis response strategies, and to broaden the authors’ understanding of legitimacy management. In September 2015, Volkswagen’s (VW) emission scandal became public and caused debates also in social media. By applying complementing tools of data analysis to the Twitter communication around the “Dieselgate” crisis, this study unfolds a field of tension between corporate strategy and public perception. Design/methodology/approach The authors collected Twitter data and analysed approximately 2.1m tweets relevant to the VW crisis. The authors approached the data by separating the overall communication in peak and quiet phases; analysing the peaks with social network analysis techniques; studying sentiments and the differences in each phase; and specifically examining tweets from VW’s corporate accounts with regard to the situational crisis communication theory (SCCT) and legitimacy. Findings VW’s very few tweets were not able to reduce the emotionality and sentiment of the ongoing Twitter discussion. Instead, even during quiet phases, the communication remained rather negative. The analysis suggests that VW followed a strategy not covered by SCCT, i.e. keeping silent. Practical implications The discovered strategy of keeping silent extends the SCCT and is linked to legitimacy management. Learnings from this study help decision makers to put social media response strategies into practice to swiftly recover from crises or refrain from certain strategies to avoid further reputational damage. Social implications Examining the underlying communication patterns of a crisis case with societal magnitude such as “Dieselgate” helps sensitising customers and executives to utilise social media channels more comprehensible in future crises. Originality/value The study uncovers the unconventional and yet barely addressed crisis response strategy of a global enterprise while devising unique realisations for practitioners and communication researchers. It contributes to existing knowledge about situational crisis response strategies, and broadens the authors’ understanding of legitimacy management in times of social media ubiquity.

Communication Accommodation Theory predicts to what extent individuals accommodate their verbal and nonverbal behaviour by converging it towards their conversation partner or diverging it away from them to gain social approval and to decrease social distance. Especially individuals in lower hierarchy positions accommodate their communication behaviour towards individuals in higher hierarchy positions. Nowadays, computer-and smartphone-mediated communication are common ways to communicate, for example via instant messaging. However, instant messenger lack in transporting nonverbal cues. To fill this gap, emoji are used increasingly. A study was conducted to examine how individuals in lower hierarchy positions converge their emoji usage towards individuals in higher hierarchy position. The results support the assumption that the higher hierarchy is perceived, the more emoji accommodation is shown.

Like in the real world, perceptions of risk can influence the behavior and decisions that people make in online platforms. Users of Social Network Sites (SNSs) like Facebook make continuous decisions about their privacy since these are spaces designed to share private information with large and diverse audiences. In particular, deciding whether or not to disclose such information will depend largely on each individual’s ability to assess the corresponding privacy risks. However, SNSs often lack awareness instruments that inform users about the consequences of unrestrained self-disclosure practices. Such an absence of risk information can lead to poor assessments and, consequently, undermine users’ privacy behavior. This work elaborates on the use of risk scenarios as a strategy for promoting safer privacy decisions in SNSs. In particular, we investigate, through an online survey, the effects of communicating those risks associated with online self-disclosure. Furthermore, we analyze the users’ perceived severity of privacy threats and its importance for the definition of personalized risk awareness mechanisms. Based on our findings, we introduce the design of preventative nudges as an approach for providing individual privacy support and guidance in SNSs.

Clickbait to make people click on a linked article is commonly used on social media. We analyze the impact of clickbait on user interaction on Facebook in the form of liking, sharing and commenting. For this, we use a data set of more than 4,400 Facebook posts from 10 different news sources to analyze how clickbait in post headlines and in post text influences user engagement. The results of our study revealed that certain features (e.g., unusual punctuation and common clickbait phrases) increase user interaction, whereas others decrease engagement with Facebook posts. We further use our results to discuss the potential role of digital nudging in the context of clickbait. Our results contribute to understanding and making use of the effect of different framings in social media.

The success of teams in enterprise social networks (ESN) is of high importance in today's project-based and digitised work environments. In this context, onboarding of new hires or allocated team members means the adoption of group characteristics and behaviours. Studies identified cohesion and trust as part of the socialisation process and found communication behaviours that facilitate socialisation. ESN not only enable efficient communication or relationship building, they also make the socialisation processes visible and analysable. In this paper, we propose to use metrics from social network analysis (e.g. extraversion, openness and proactiveness) to operationalise communication behaviours identified as positive for socialisation. First evaluations with two ESN data sets in OLS, beta regression and multilevel models sparsely support the influence on closeness, which we expect to reflect the level of group integration.