Leveraging Social Media to Promote EvidenceBased Continuing Medical Education

Importance New dissemination methods are needed to engage physicians in evidence-based continuing medical education (CME). Objective To examine the effectiveness of social media in engaging physicians in non-industry-sponsored CME. Design We tested the effect of different media platforms (e-mail, Facebook, paid Facebook and Twitter), CME topics, and different “hooks” (e.g., Q&A, clinical pearl and best evidence) on driving clicks to a landing site featuring non-industry sponsored CME. We modelled the effects of social media platform, CME topic, and hook using negative binomial regression on clicks to a single landing site. We used clicks to landing site adjusted for exposure and message number to calculate rate ratios. To understand how physicians interact with CME content on social media, we also conducted interviews with 10 physicians. Setting The National Physicians Alliance (NPA) membership. Participants NPA e-mail recipients, Facebook followers and friends, and Twitter followers. Main Outcomes and Measures Clicks to the NPA’s CME landing site. Results On average, 4,544 recipients received each message. Messages generated a total of 592 clicks to the landing site, for a rate of 5.4 clicks per 1000 recipients exposed. There were 5.4 clicks from e-mail, 11.9 clicks from Facebook, 5.5 clicks from paid Facebook, and 6.9 clicks from Twitter to the landing site for 1000 physicians exposed to each of 4 selected CME modules. A Facebook post generated 2.3x as many clicks to the landing site as did an e-mail after controlling for participant exposure, hook type and CME topic (p Conclusions Social media has a modest impact on driving traffic to evidence-based CME options. Facebook had a superior effect on driving physician web traffic to evidence-based CME compared to other social media platforms and email

You Must Have Clicked on this Ad by Mistake! Data-Driven Identification of Accidental Clicks on Mobile Ads with Applications to Advertiser Cost Discounting and Click-Through Rate Prediction

In the cost per click (CPC) pricing model, an advertiser pays an ad network only when a user clicks on an ad; in turn, the ad network gives a share of that revenue to the publisher where the ad was impressed. Still, advertisers may be unsatisfied with ad networks charging them for "valueless" clicks, or so-called accidental clicks. [...] Charging advertisers for such clicks is detrimental in the long term as the advertiser may decide to run their campaigns on other ad networks. In addition, machine-learned click models trained to predict which ad will bring the highest revenue may overestimate an ad click-through rate, and as a consequence negatively impacting revenue for both the ad network and the publisher. In this work, we propose a data-driven method to detect accidental clicks from the perspective of the ad network. We collect observations of time spent by users on a large set of ad landing pages - i.e., dwell time. We notice that the majority of per-ad distributions of dwell time fit to a mixture of distributions, where each component may correspond to a particular type of clicks, the first one being accidental. We then estimate dwell time thresholds of accidental clicks from that component. Using our method to identify accidental clicks, we then propose a technique that smoothly discounts the advertiser's cost of accidental clicks at billing time. Experiments conducted on a large dataset of ads served on Yahoo mobile apps confirm that our thresholds are stable over time, and revenue loss in the short term is marginal. We also compare the performance of an existing machine-learned click model trained on all ad clicks with that of the same model trained only on non-accidental clicks. There, we observe an increase in both ad click-through rate (+3.9%) and revenue (+0.2%) on ads served by the Yahoo Gemini network when using the latter. [...

A Novel Method to Calculate Click Through Rate for Sponsored Search

Sponsored search adopts generalized second price (GSP) auction mechanism which works on the concept of pay per click which is most commonly used for the allocation of slots in the searched page. Two main aspects associated with GSP are the bidding amount and the click through rate (CTR). The CTR learning algorithms currently being used works on the basic principle of (#clicks_i/ #impressions_i) under a fixed window of clicks or impressions or time. CTR are prone to fraudulent clicks, resulting in sudden increase of CTR. The current algorithms are unable to find the solutions to stop this, although with the use of machine learning algorithms it can be detected that fraudulent clicks are being generated. In our paper, we have used the concept of relative ranking which works on the basic principle of (#clicks_i /#clicks_t). In this algorithm, both the numerator and the denominator are linked. As #clicks_t is higher than previous algorithms and is linked to the #clicks_i, the small change in the clicks which occurs in the normal scenario have a very small change in the result but in case of fraudulent clicks the number of clicks increases or decreases rapidly which will add up with the normal clicks to increase the denominator, thereby decreasing the CTR.Comment: 10 pages, 1 figur

Clicks, Discontinuities, and Firm Demand Online

The market values of online platforms, such as Yahoo, stem from their ability to monetize the clicks they generate for firms advertising on their sites. We exploit a unique dataset on clicks from one of Yahoo's price comparison sites to estimate the determinants of clicks received by online retailers. We find that a firm enjoys a 60% jump in its clicks when it offers the lowest price at the site. This discontinuity is consistent with a variety of models that have been used to rationalize the price dispersion observed in online markets. We also show that one may use estimates of the determinants of a firm's clicks to obtain bounds on its underlying demand parameters, including own- and cross-price elasticities. Our results have potentially significant ramifications for online retailers, platforms, and policymakers: Failure to account for discontinuities distorts parameter estimates by 50 to 100 percent.

Born's rule from measurements of classical signals by threshold detectors which are properly calibrated

The very old problem of the statistical content of quantum mechanics (QM) is studied in a novel framework. The Born's rule (one of the basic postulates of QM) is derived from theory of classical random signals. We present a measurement scheme which transforms continuous signals into discrete clicks and reproduces the Born's rule. This is the sheme of threshold type detection. Calibration of detectors plays a crucial role.Comment: The problem of double clicks is resolved; hence, one can proceed in purely wave framework, i.e., the wave-partcile duality has been resolved in favor of the wave picture of prequantum realit

Disposition and Success of Patients Following Discharge in the Acute Setting

Abstract: Background & Purpose: Many patients are seen in the hospital by physical therapists who also help decide where the patient will go after discharge (e.g., home, rehab hospital, skilled nursing facility) with the goal being the safest and best quality of life. Therapists may use different tests and measures along with their own professional judgment to help make a recommendation for a discharge location. The purpose of this study was to examine how PT’s recommendation for discharge location, POMA score, “6-clicks” score, age, diagnosis, and gender determine patient’s fall/readmission status after being discharged by hospital. Subjects: There were 113 patients in this study. The inclusion criteria for the patients were that they had to have been seen by a physical therapist in the acute care hospital, were given a physical therapist discharge recommendation, and were over the age of 18. Methods: Data was collected from a single community hospital in the Pacific Northwest. The following data were collected: reason for patient admission to the hospital, POMA score, “6-clicks” score, the therapist’s discharge recommendation, patient age, patient gender, and the actual discharge location of the patient. Approximately 30 days following discharge, the patients were contacted via telephone to determine where they went after discharge, if they were readmitted to the hospital within 30 days, or if they experienced a fall since leaving the hospital. Data were analyzed using independent t-tests, chi-square analysis, and receiver operating characteristic (ROC) curves. Results: There were no significant differences between patients’ “6-clicks” scores (p=0.667), POMA scores (p=0.890), or age (p=0.940) when comparing those who experienced a post-discharge fall and those that did not have a fall. No differences in “6-clicks” scores (p=0.815), POMA scores (p=0.753), and age (p=0.735) were found between patients’ who were readmitted and those not readmitted within 30 days of discharge. No associations were found with mismatch-when the actual discharge location was not the same as the physical therapist’s recommendation for discharge (fall p=0.090, readmission p=0.087), medical diagnosis (fall p=0.989, readmission p=0.002*) or gender (fall p=0.737, readmission p=0.250) with patients’ outcomes (reported falls or no falls and readmitted or not readmitted after 30 days from discharge). Areas under the ROC curves with “6-clicks” for fall status (patients who had either fallen or not fallen post discharge 30 days) was 0.463 (95% confidence interval (CI)=0.288, 0.637) and for readmission status (patients who had either readmitted or did not 30 days after discharge) was 0.477 (95% CI=0.351, 0.604). Areas under the curves with POMA scores for fall status was 0.505 (95% CI=0.331, 0.678) and for readmission status was 0.497 (95% CI=0.376, 0.617). Discussion: The POMA, “6-clicks,” and the physical therapist recommendations were not associated with patient falls or readmissions. Because other studies have shown a relationship between “6-clicks” and discharge location, there is a need for more studies that examine this relationship. Future studies should include a larger patient population, from multiple locations to diversify the participants and facilities

Haunted quantum contextuality versus value indefiniteness - a minority report

Physical entities are ultimately (re)constructed from elementary yes/no events, in particular clicks in detectors or measurement devices recording quanta. Recently, the interpretation of certain such clicks has given rise to unfounded claims which are neither necessary nor sufficient, although they are presented in that way. In particular, clicks can neither inductively support nor "(dis)prove" the Kochen-Specker theorem, which is a formal result that has a deductive proof by contradiction. More importantly, the alleged empirical evidence of quantum contextuality, which is "inferred" from violations of bounds of classical probabilities by quantum correlations, is based on highly nontrivial assumptions, in particular on physical omniscience.Comment: 2 page

Breaking the News: First Impressions Matter on Online News

A growing number of people are changing the way they consume news, replacing the traditional physical newspapers and magazines by their virtual online versions or/and weblogs. The interactivity and immediacy present in online news are changing the way news are being produced and exposed by media corporations. News websites have to create effective strategies to catch people's attention and attract their clicks. In this paper we investigate possible strategies used by online news corporations in the design of their news headlines. We analyze the content of 69,907 headlines produced by four major global media corporations during a minimum of eight consecutive months in 2014. In order to discover strategies that could be used to attract clicks, we extracted features from the text of the news headlines related to the sentiment polarity of the headline. We discovered that the sentiment of the headline is strongly related to the popularity of the news and also with the dynamics of the posted comments on that particular news.Comment: The paper appears in ICWSM 201

Male sperm whale acoustic behavior observed from multipaths at a single hydrophone

Sperm whales generate transient sounds (clicks) when foraging. These clicks have been described as echolocation sounds, a result of having measured the source level and the directionality of these signals and having extrapolated results from biosonar tests made on some small odontocetes. The authors propose a passive acoustic technique requiring only one hydrophone to investigate the acoustic behavior of free-ranging sperm whales. They estimate whale pitch angles from the multipath distribution of click energy. They emphasize the close bond between the sperm whale’s physical and acoustic activity, leading to the hypothesis that sperm whales might, like some small odontocetes, control click level and rhythm. An echolocation model estimating the range of the sperm whale’s targets from the interclick interval is computed and tested during different stages of the whale’s dive. Such a hypothesis on the echolocation process would indicate that sperm whales echolocate their prey layer when initiating their dives and follow a methodic technique when foraging