Unified Representation of Twitter and Online News Using Graph and Entities.

To improve consumer engagement and satisfaction, online news services employ strategies for personalizing and recommending articles to their users based on their interests. In addition to news agencies' own digital platforms, they also leverage social media to reach out to a broad user base. These engagement efforts are often disconnected with each other, but present a compelling opportunity to incorporate engagement data from social media to inform their digital news platform and vice-versa, leading to a more personalized experience for users. While this idea seems intuitive, there are several challenges due to the disparate nature of the two sources. In this paper, we propose a model to build a generalized graph of news articles and tweets that can be used for different downstream tasks such as identifying sentiment, trending topics, and misinformation, as well as sharing relevant articles on social media in a timely fashion. We evaluate our framework on a downstream task of identifying related pairs of news articles and tweets with promising results. The content unification problem addressed by our model is not unique to the domain of news, and thus can be applicable to other problems linking different content platforms.

The Prevalence of Back and Leg Pain and the Cross-sectional Association With Adverse Health Outcomes in Community Dwelling Older Adults in England.

STUDY DESIGN: Cross-sectional analysis of the Oxford Pain, Activity and Lifestyle (OPAL) Cohort Study. OBJECTIVE: The aim of this study was to assess the prevalence of back pain (BP) and leg pain and determine their relationship with adverse health states among older adults in England. SUMMARY OF BACKGROUND DATA: Epidemiological data describing the prevalence of BP and leg pain in older adults in England is lacking. METHODS: A total of 5304 community-dwelling adults (aged 65-100 years) enrolled in the OPAL cohort study who provided data on BP and leg pain were included. Participants were classified into four groups based on reports of back and leg pain: no BP, BP only, BP and leg pain which was likely to be neurogenic claudication (NC), and BP and leg pain which was not NC. Adverse health states were frailty, falls, mobility decline, low walking confidence, poor sleep quality, and urinary incontinence. We collected demographic and socioeconomic information, health-related quality of life, and existing health conditions, and estimated the association between BP presentations and adverse health states using regression analysis. RESULTS: Thirty-four percent of participants (1786/5304) reported BP only, 11.2% (n = 594/5304) reported BP and NC and 8.3% (n = 441/5304) reported BP and non-NC leg pain. Participants with BP had worse quality of life compared to those without BP. All BP presentations were significantly associated with adverse health states. Those with NC were most affected. In particular, there was greater relative risk (RR) of low walking confidence (RR 3.11, 95% confidence interval [CI] 2.56-3.78), frailty (RR 1.88, 95% CI 1.67-2.11), and mobility decline (RR 1.74, 95% CI 1.54-1.97) compared to no BP. CONCLUSION: Back and leg pain is a common problem for older adults and associated with reduced quality of life and adverse health states. Findings suggest a need to develop more effective treatment for older adults with BP especially for those with neurogenic claudication. LEVEL OF EVIDENCE: 2.