Offline Social Relationships and Online Cancer Communication: Effects of Social and Family Support on Online Social Network Building

This study investigates how social support and family relationship perceptions influence breast cancer patients’ online communication networks in a computer-mediated social support (CMSS) group. To examine social interactions in the CMSS group, we identified two types of online social networks: open and targeted communication networks. The open communication network reflects group communication behaviors (i.e., one-to-many or “broadcast” communication) in which the intended audience is not specified; in contrast, the targeted communication network reflects interpersonal discourses (i.e., one-to-one or directed communication) in which the audience for the message is specified. The communication networks were constructed by tracking CMSS group usage data of 237 breast cancer patients who participated in one of two National Cancer Institute-funded randomized clinical trials. Eligible subjects were within 2 months of a diagnosis of primary breast cancer or recurrence at the time of recruitment. Findings reveal that breast cancer patients who perceived less availability of offline social support had a larger social network size in the open communication network. In contrast, those who perceived less family cohesion had a larger targeted communication network in the CMSS group, meaning they were inclined to use the CMSS group for developing interpersonal relationships

#Politics on Twitter goes beyond the left-right ideology divide

In U.S. politics, the main narrative tends to manifest as left vs right, Democrat vs. Republican, but is this reflected in the social media sphere as well? In new research which maps how hashtags in political tweets were used in the lead up to the 2010 Congressional midterm elections, Leticia Bode, Alex Hanna, JungHwan Yang, and Dhavan V. Shah found that some hashtags occurred in discussion groups that were there ideological opposite. They write that this ‘hashjacking’ was a way in which conservatives were able to enter and disrupt a more liberal community’s online discussion

Mapping the Political Twitterverse: Finding Connections Between Political Elites

Twitter provides a new and important tool for politicalactors, and is increasingly being used as such. In the2010 midterm elections, the vast majority of candidates forthe U.S. House of Representatives and virtually all candidatesfor U.S. Senate and governorships used Twitter toreach out to potential supporters, direct them to particularpieces of information, request campaign contributions, andmobilize their political action. Despite the level of activity,we have little understanding of what the political Twitterverselooks like in terms of communication and discourse.This project seeks to remedy that lack of understandingby mapping candidates for federal office in 2010 and theirfollowers, according to their use of the 4016 most used hashtags(keywords). Our data set is uniquely constructed fromtweets of most of the candidates running for the U.S. Houseof Representatives in 2010, all the candidates for the Senateand governorships, and a random sample of their followers.From this we utilize multidimensional scaling to constructa visual map based on hashtag usage. We find that ourdata have both local and global interpretations that reflectnot only political leaning but also strategies of communication.This study provides insight into innovation in newmedia usage in political behavior, as well as a snapshot ofthe political twitterverse in 2010

A Smartphone-Based Support Group for Alcoholism: Effects of Giving and Receiving Emotional Support on Coping Self-Efficacy and Risky Drinking

The purpose of this study was to investigate the nature and effects of exchanging emotional support via a smartphone-based support group for patients with alcohol dependence. Of the 349 patients who met the Diagnostic and Statistical Manual of Mental Disorders (4th ed.) criteria for alcohol dependence, 153 patients participated in the discussion group within the Addiction-Comprehensive Health Enhancement Support System, a smartphone application aimed at reducing relapse. This was developed to prevent problem drinking by offering individuals in recovery for alcohol dependence automated 24/7 recovery support services and frequent assessment of their symptom status as part of their addiction care. The results showed that receiving emotional support from health care providers improved coping self-efficacy. Giving emotional support and receiving emotional support from health care providers acted as a buffer, protecting patients from the harmful effects of emotional distress on risky drinking. Clinicians and researchers should use the features of smartphone-based support groups to reach out to alcoholic patients in need and encourage them to participate in the exchange of emotional support with others

Evaluating measures of campaign advertising exposure on political learning

Scholars employ various methods to measure exposure to televised political advertising but often arrive at conflicting conclusions about its impact on the thoughts and actions of citizens. We attempt to clarify one of these debates while validating a parsimonious measure of political advertising exposure. To do so, we assess the predictive power of six different measurement approaches - from the simple to the complex - on learning about political candidates. Two datasets are used in this inquiry: (1) geo-coded political advertising time-buy data, and (2) a national panel study concerning patterns of media consumption and levels of political knowledge. We conclude that many traditional methods of assessing exposure are flawed. Fortunately, there is a relatively simple measure that predicts knowledge about information featured in ads. This measure involves combining a tally of the volume of advertisements aired in a market with a small number of survey questions about the television viewing habits of geo-coded respondents

Expression and Reception: An Analytic Method for Assessing Message Production and Consumption in CMC

This article presents an innovative methodology to study computer-mediated communication (CMC), which allows analysis of the multi-layered effects of online expression and reception. The methodology is demonstrated by combining the following three data sets collected from a widely tested eHealth system, the Comprehensive Health Enhancement Support System (CHESS): (1) a flexible and precise computer-aided content analysis; (2) a record of individual message posting and reading; and (3) longitudinal survey data. Further, this article discusses how the resulting data can be applied to online social network analysis and demonstrates how to construct two distinct types of online social networks—open and targeted communication networks—for different types of content embedded in social networks

Predictors of the Change in the Expression of Emotional Support within an Online Breast Cancer Support Group: A Longitudinal Study

OBJECTIVES: To explore how the expression of emotional support in an online breast cancer support group changes over time, and what factors predict this pattern of change. METHODS: We conducted growth curve modeling with data collected from 192 participants in an online breast cancer support group within the Comprehensive Health Enhancement Support System (CHESS) during a 24-week intervention period. RESULTS: Individual expression of emotional support tends to increase over time for the first 12 weeks of the intervention, but then decrease slightly with time after that. In addition, we found that age, living situation, comfort level with computer and the Internet, coping strategies were important factors in predicting the changing pattern of expressing emotional support. CONCLUSIONS: Expressing emotional support changed in a quadratic trajectory, with a range of factors predicting the changing pattern of expression. PRACTICAL IMPLICATIONS: These results can provide important information for e-health researchers and physicians in determining the benefits individuals can gain from participation in should CMSS groups as the purpose of cancer treatment

News media use, talk networks, and anti-elitism across geographic location: evidence from Wisconsin

A certain social-political geography recurs across European and North American societies: As post-industrialization and mechanization of agriculture have disrupted economies, rural and nonmetropolitan areas are aging and declining in population, leading to widening political and cultural gaps between metropolitan and rural communities. Yet political communication research tends to focus on national or cross-national levels, often emphasizing networked digital media and an implicitly global information order. We contend that geographic place still provides a powerful grounding for individuals’ lifeworld experiences, identities, and orientations to political communications and politics. Focusing on the U.S. state of Wisconsin, and presenting data gathered in 2018, this study demonstrates significant, though often small, differences between geographic locations in terms of their patterns of media consumption, political talk, and anti-elite attitudes. Importantly, television news continues to play a major role in citizens’ repertoires across locations, suggesting we must continue to pay attention to this broadcast medium. Residents of more metropolitan communities consume significantly more national and international news from prestige sources such as the New York Times, and their talk networks are more cleanly sorted by partisanship. Running against common stereotypes of news media use, residents of small towns and rural areas consume no more conservative media than other citizens, even without controlling for partisanship. Our theoretical model and empirical results call for further attention to the intersections of place and politics in understanding news consumption behaviors and the meanings citizens draw from media content

Implementing a Mobile Health System to Integrate the Treatment of Addiction Into Primary Care: A Hybrid Implementation-Effectiveness Study

Background: Despite the near ubiquity of mobile phones, little research has been conducted on the implementation of mobile health (mHealth) apps to treat patients in primary care. Although primary care clinicians routinely treat chronic conditions such as asthma and diabetes, they rarely treat addiction, a common chronic condition. Instead, addiction is most often treated in the US health care system, if it is treated at all, in a separate behavioral health system. mHealth could help integrate addiction treatment in primary care. Objective: The objective of this paper was to report the effects of implementing an mHealth system for addiction in primary care on both patients and clinicians. Methods: In this implementation research trial, an evidence-based mHealth system named Seva was introduced sequentially over 36 months to a maximum of 100 patients with substance use disorders (SUDs) in each of three federally qualified health centers (FQHCs; primary care clinics that serve patients regardless of their ability to pay). This paper reports on patient and clinician outcomes organized according to the Reach, Effectiveness, Adoption, Implementation, and Maintenance (RE-AIM) framework. Results: The outcomes according to the RE-AIM framework are as follows: Reach—Seva reached 8.31% (268/3226) of appropriate patients. Reach was limited by our ability to pay for phones and data plans for a maximum of 100 patients per clinic. Effectiveness—Patients who were given Seva had significant improvements in their risky drinking days (44% reduction, (0.7-1.25)/1.25, P=.04), illicit drug-use days (34% reduction, (2.14-3.22)/3.22, P=.01), quality of life, human immunodeficiency virus screening rates, and number of hospitalizations. Through Seva, patients also provided peer support to one another in ways that are novel in primary care settings. Adoption—Patients sustained high levels of Seva use—between 53% and 60% of the patients at the 3 sites accessed Seva during the last week of the 12-month implementation period. Among clinicians, use of the technology was less robust than use by patients, with only a handful of clinicians using Seva in each clinic and behavioral health providers making most referrals to Seva in 2 of the 3 clinics. Implementation—At 2 sites, implementation plans were realized successfully; they were delayed in the third. Maintenance—Use of Seva dropped when grant funding stopped paying for the mobile phones and data plans. Two of the 3 clinics wanted to maintain the use of Seva, but they struggled to find funding to support this. Conclusions: Implementing an mHealth system can improve care among primary care patients with SUDs, and patients using the system can support one another in their recovery. Among clinicians, however, implementation requires figuring out how information from the mHealth system will be used and making mHealth data available in the electronic health (eHealth) record. In addition, paying for an mHealth system remains a challenge