Decoding social media speak: developing a speech act theory research agenda

Purpose – Drawing on the theoretical domain of speech act theory (SAT) and a discussion of its suitability for setting the agenda for social media research, this study aims to explore a range of research directions that are both relevant and conceptually robust, to stimulate the advancement of knowledge and understanding of online verbatim data. Design/methodology/approach – Examining previously published cross-disciplinary research, the study identifies how recent conceptual and empirical advances in SAT may further guide the development of text analytics in a social media context. Findings – Decoding content and function word use in customers’ social media communication can enhance the efficiency of determining potential impacts of customer reviews, sentiment strength, the quality of contributions in social media, customers’ socialization perceptions in online communities and deceptive messages. Originality/value – Considering the variety of managerial demand, increasing and diverging social media formats, expanding archives, rapid development of software tools and fast-paced market changes, this study provides an urgently needed, theory-driven, coherent research agenda to guide the conceptual development of text analytics in a social media context

Keplerian discs around post-AGB stars: a common phenomenon?

Aims: We aim at showing that the broad-band SED characteristics of our sample of post-AGB stars are best interpreted, assuming the circumstellar dust is stored in Keplerian rotating passive discs. Methods: We present a homogeneous and systematic study of the Spectral Energy Distributions (SEDs) of a sample of 51 post-AGB objects. The selection criteria to define the whole sample were tuned to cover the broad-band characteristics of known binary post-AGB stars. The whole sample includes 20 dusty RV Tauri stars from the General Catalogue of Variable Stars (GCVS). We supplemented our own Geneva optical photometry with literature data to cover a broad range of fluxes from the UV to the far-IR. Results: All the SEDs display very similar characteristics: a large IR excess with a dust excess starting near the sublimation temperature, irrespective of the effective temperature of the central star. Moreover, when available, the long wavelength fluxes show a black-body slope indicative of the presence of a component of large mm sized grains. Conclusions: We argue that in all systems, gravitationally bound dusty discs are present. The discs must be puffed-up to cover a large opening angle for the central star and we argue that the discs have some similarity with the passive discs detected around young stellar objects. We interpret the presence of a disc to be a signature for binarity of the central object, but this will need confirmation by long-term monitoring of the radial velocities. We argue that dusty RV Tauri stars are those binaries which happen to be in the Population II instability strip.Comment: 29 pages, 5 figures, accepted for publication in A&

Assessing the effect of narrative transportation, portrayed action, and photographic style on the likelihood to comment on posted selfies

Purpose: This research assesses the effect of narrative transportation, portrayed action, and photographic style on the likelihood to comment on posted consumer photos. Design/methodology/approach: Integrating visual semiotics and experiments, this research empirically examines the influence of consumer photos on viewers’ likelihood to comment on the visualised narrative. One pilot, three experimental, and a content analysis involve photos varying in their narrative perspective (selfie vs. elsie) and portrayed content (no product, no action, or directed action). We also test for the boundary condition of the role of the photographic style (snapshot, professional, and “parody” selfie) on the likelihood to comment on consumer photos. Findings: Viewers are more likely to comment on photos displaying action. When these photos are selfies, the effect is exacerbated. The experience of narrative transportation — a feeling of entering a world evoked by the narrative — underlies this effect. However, if a snapshot style is used (primed or manipulated) — namely, the photographic style appears genuine, unposed, unconstructed, and natural — the superior effect of selfies disappears because of greater perceived silliness of the visualised narrative. Practical implications: Managers should try to motivate consumers to take selfies portraying action if their aim is to encourage eWOM. Social implications: Organisations can effectively use consumer photos portraying consumption for educational purpose (e.g. eating healthfully, reducing alcohol use). Originality/value: This research links consumer photos and eWOM and extends the marketing literature on visual narratives, which is mainly focused on company — rather than user-generated content

Governing Embedded Partner Networks: Certification and Partner Communities in the IT Sector

Purpose The complexity of supplier-partner networks in the Information Technology (IT) sector where large suppliers utilize thousands of authorized partners, requires that organizations reconsider their approach to governing and managing the relationships involved. Traditional dyadic approaches to governance are likely to prove inadequate. This paper investigates the relationship between network governance mechanisms and relationship performance. Specifically, we examine the contingent effect of certification of partners and the use of partner communities (as formal and informal mechanisms of network governance, respectively), on complex and embedded networks of relationships. Design/methodology/approach A model examining the effect of formal and informal network governance on the relationship between embeddedness (structural and relational) and relationship performance is developed. Data was collected from a sample of partners of leading IT suppliers in the United Kingdom and Ireland. Three-way interactions assess the contingent effect of certification and partner communities on the relationship between embeddedness and relational performance. Findings Results support the use of a combination of certification and partner communities to strengthen the link between network structure (structural embeddedness) and relational embeddedness, as well as relationship performance. Certification requires the sharing of explicit knowledge with partners whereas partner communities aid the creation and dissemination of more tacit, contextual knowledge. Furthermore, partner communities reinforce positive perceptions of fairness in suppliers’ network management practices, overcoming any perceptions of lock-in or coercive control that certification may suggest. Practical implications Certification, despite all its procedural and reputational benefits, damages partner relationships and needs to be supported by partner communities, which themselves show particularly strong benefits in enhancing network relationships. Originality/value Despite the emerging prevalence of certification and partner communities in business-to-business relationships, to date there is a paucity of research on their effects on partner relationships and performance. Organizations with an extensive network of similar partners may suffer network overload. This research shows that such organizations can manage their partner network more effectively through network governance mechanisms, thereby addressing the challenge of overload

Entropy and information in neural spike trains: Progress on the sampling problem

The major problem in information theoretic analysis of neural responses and other biological data is the reliable estimation of entropy--like quantities from small samples. We apply a recently introduced Bayesian entropy estimator to synthetic data inspired by experiments, and to real experimental spike trains. The estimator performs admirably even very deep in the undersampled regime, where other techniques fail. This opens new possibilities for the information theoretic analysis of experiments, and may be of general interest as an example of learning from limited data.Comment: 7 pages, 4 figures; referee suggested changes, accepted versio

Communication in the Gig Economy: Buying and Selling in Online Freelance Marketplaces

The proliferating gig economy relies on online freelance marketplaces, which support relatively anonymous interactions by text-based messages. Informational asymmetries thus arise that can lead to exchange uncertainties between buyers and freelancers. Conventional marketing thought recommends reducing such uncertainty. However, uncertainty reduction and uncertainty management theories indicate that buyers and freelancers might benefit more from balancing, rather than reducing, uncertainty, such as by strategically adhering to or deviating from common principles. With dyadic analyses of calls for bids and bids from a leading online freelance marketplace, this study reveals that buyers attract more bids from freelancers when they provide moderate degrees of task information and concreteness, avoid sharing personal information, and limit the affective intensity of their communication. Freelancers’ bid success and price premiums increase when they mimic the degree of task information and affective intensity exhibited by buyers. However, mimicking a lack of personal information and concreteness reduces freelancers’ success, so freelancers should always be more concrete and offer more personal information than buyers do. These contingent perspectives offer insights into buyer–seller communication in two-sided online marketplaces; they clarify that despite, or sometimes due to, communication uncertainty, both sides can achieve success in the online gig economy

Unveiling What is Written in The Stars: Analyzing Explicit, Implicit, and Discourse Patterns of Sentiment in Social Media

Deciphering consumers' sentiment expressions from big data (e.g., online reviews) has become a managerial priority to monitor product and service evaluations. However, sentiment analysis, the process of automatically distilling sentiment from text, provides little insight regarding the language granularities beyond the use of positive and negative words. Drawing on speech act theory, this study provides a fine-grained analysis of the implicit and explicit language used by consumers to express sentiment in text. An empirical text-mining study using more than 45,000 consumer reviews demonstrates the differential impacts of activation levels (e.g., tentative language), implicit sentiment expressions (e.g., commissive language), and discourse patterns (e.g., incoherence) on overall consumer sentiment (i.e., star ratings). In two follow-up studies, we demonstrate that these speech act features also influence the readers' behavior and are generalizable to other social media contexts, such as Twitter and Facebook. We contribute to research on consumer sentiment analysis by offering a more nuanced understanding of consumer sentiments and their implications

Take their word for it: The symbolic role of linguistic style matches in user communities

User communities are increasingly becoming an essential element of companies' business processes. However, reaping the benefits of such social systems does not always prove effective, often because companies fail to stimulate members' collaboration continuously or neglect their social integration. Following communication accommodation theory, the authors posit that members' communication style alignment symbolically reflects their community identification and affects subsequent participation behavior. This research uses text mining to extract the linguistic style properties of 74,246 members' posts across 37 user communities. Two mixed multilevel Poisson regression models show that when members' linguistic style matches with the conventional community style, it signals their community identification and affects their participation quantity and quality. Drawing on an expanded view of organizational identification, the authors consider dynamics in members' social identification by examining trends and reversals in linguistic style match developments. Whereas a stronger trend of alignment leads to greater participation quantity and quality, frequent reversals suggest lower participation quantity. At a community level, greater synchronicity in the linguistic style across all community members fosters individual members' participation behavior