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As social media becomes an increasingly dominant and important component of sport organizations' marketing and communication strategies, effective marketing measurement techniques are required. Using social media data of a Division I football team, this research demonstrates how predictive analytics can be used as a marketing measurement tool. A support vector machine model was compared to a standard linear regression with respect to accurately predicting Facebook posts' total interactions. The predictive model was used as (i) a planning tool to forecast future post engagement based on a variety of post characteristics and (ii) an evaluation tool of a marketing campaign by providing accurate benchmarks to compare against achieved engagement metrics. Results indicated the support vector machine model outperformed the standard linear regression and the marketing campaign was unsuccessful in achieving its goals. This research provides a foundation for future use of predictive analytics in social media and sport management scholarship. Keywords: social media; analytics; machine learning; fan engagement; support vector machines, The growing popularity of social media has led organizations to leverage such platforms within their marketing and communication strategies to improve relationships with consumers and increase brand value. As of [...]

Uses and gratifications theory has often been used in (sport) communication studies to examine social media usage. Yet, criticisms of uses and gratifications theory (e.g., it overstates purposefulness) and competing research suggesting media use is more habitual and unconscious in nature have often been overlooked. Thus, through semistructured interviews, this research explored how social media is used, identifying five themes: passively, distinctly, periodically, habitually, and universally. Theoretically, this research contributes by highlighting the passive, habitual, and unconscious nature of some sport social media behavior, thereby challenging our current assumptions that sport social media usage is always active, purposeful, and goal directed. It also considers the uniqueness (or lack thereof) of sport content within the social media experience. Managerially, this research helps sport organizations understand how consumers use social media to inform marketing and communication strategies. [ABSTRACT FROM AUTHOR]

A new axially vibrating sensor based on an audio voice coil transducer and a lead zirconate titanate (PZT) piezoelectric disc microphone was developed as a probe for the measurement of in vitro rheological fluid properties, including curing progress for polymethylmethacrylate (PMMA) mixtures with important uses as bone cement in the field of orthopedics. The measurement of the vibrating axial sensor's acoustic spectra in PMMA undergoing curing can be described by a damped harmonic oscillator formalism and resonant frequency (ca. 180 Hz) shift can be used as an indicator of curing progress, with shifts to the blue by as much as 14 Hz. The resonant frequency peak was measured in 19 different 4.0 g PMMA samples to have a rate of shift of 0.0462 ± 0.00624 Hz·s−1 over a period of 400 s while the PMMA was in a dough state and before the PMMA transitioned to a hard-setting phase. This transition is unambiguously indicated by this sensor technology through the generation of a distinct circa 5 kHz high-Q under-damped ring-down response. [ABSTRACT FROM AUTHOR]

Objective: Web-based cognitive bias modification for interpretation (CBM-I) can improve interpretation biases and anxiety symptoms but faces high rates of dropout. This study tested the effectiveness of web-based CBM-I relative to an active psychoeducation condition and the addition of low-intensity telecoaching for a subset of CBM-I participants. Method: 1,234 anxious community adults (Mage = 35.09 years, 81.2% female, 72.1% white, 82.6% not Hispanic) were randomly assigned at Stage 1 of a sequential, multiple-assignment randomized trial to complete five weekly sessions of CBM-I or psychoeducation on our team's public research website. After the first session, for Stage 2, an algorithm attempted to classify CBM-I participants as higher (vs. lower) risk for dropping out; those classified as higher risk were then randomly assigned to complete four brief weekly telecoaching check-ins (vs. no coaching). Results: As hypothesized (https://doi.org/j2xr; Daniel, Eberle, & Teachman, 2020), CBM-I significantly outperformed psychoeducation at improving positive and negative interpretation biases (Recognition Ratings, Brief Body Sensations Interpretation Questionnaire) and anxiety symptoms (Overall Anxiety Severity and Impairment Scale, Anxiety Scale from Depression Anxiety Stress Scales–Short Form), with smaller treatment gains remaining significant at 2-month follow-up. Unexpectedly, CBM-I had significantly worse treatment dropout outcomes than psychoeducation, and adding coaching (vs. no coaching) did not significantly improve efficacy or dropout outcomes (notably, many participants chose not to interact with their coach). Conclusions: Web-based CBM-I appears effective, but supplemental coaching may not mitigate the challenge of dropout. What is the public health significance of this article?: Web-based interventions that provide practice thinking more positively about potentially threatening situations hold promise for shifting the rigidly negative interpretations that maintain anxiety, but many users of these programs do not complete a full course of treatment. The present study's results suggest that providing this training is more effective at improving interpretation biases and anxiety symptoms in anxious adults from the community compared to providing educational material about anxiety. Results also suggest that providing brief check-ins with a coach may not improve the training's effectiveness or the rates of treatment completion. [ABSTRACT FROM AUTHOR]