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2010 - Public Relations Society of America

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Method<br />

This study included screening questionnaires with 37 college students and interviews<br />

with 22 college students as the first empirical evaluation <strong>of</strong> propositions 2.1, 3.1, and 3.2.<br />

Because college students are typically savvier with social media and new technology and their<br />

use <strong>of</strong>ten sets trends for how the broader culture views technology, studying this population<br />

lends insight to future studies in this area (ECAR, 2008; Lenhart, et al., <strong>2010</strong>). Additionally,<br />

because research questions address how publics use social media in times <strong>of</strong> organizational<br />

crises, participants were asked about issues they self-identified as involving.<br />

Process. Participants were recruited through convenient and purposive means. Before<br />

conducting the interviews, the researchers launched an online questionnaire via a participant pool<br />

system at a large East Coast university. Thirty-nine students answered a brief questionnaire about<br />

daily media habits to prescreen participants, which yielded 37 valid responses—from this prescreen,<br />

22 individuals were invited to participate in in-depth, in-person interviews, which were<br />

audio-taped and fully transcribed. The researchers stopped conducting interviews once the major<br />

categories identified in the propositions displayed depth and variations (Corbin & Strauss, 2008).<br />

The interviews lasted on average 26 minutes with a range <strong>of</strong> 15 to 45 minutes. Participants<br />

received extra credit for their participation in the study.<br />

Online questionnaire and interview guide. The online questionnaire asked 19 openended<br />

questions related to older and new media consumption on a minutes-per-day and hoursper-week<br />

basis (e.g., “How much time on average do you spend reading blogs per day and per<br />

week?”) and two demographic questions (“What is your age?” and “What is your gender?”). The<br />

interview guide asked eight open-ended questions with additional probes related to the BMCC’s<br />

propositions. For example, for proposition 2.1 on participants’ motivation, the guide asked, “For<br />

what reasons do you use social media in a crisis?” For propositions 3.1 and 3.2 on the indirect<br />

influence <strong>of</strong> social media, the guide asked, for example, “How did you first learn about the<br />

crisis?” and “Did you talk about this crisis with friends, family, and/or coworkers?”<br />

Analysis. Analysis occurred during and after data collection. During data collection, the<br />

researchers immediately transcribed interviews, sharing transcripts, observer comments, and<br />

memos. This co-current data collection and analysis process allowed the researchers to capture<br />

early themes and identify needs for shifting questions or approach. Once the interviews were<br />

completed, the researchers systematically analyzed the transcripts through Miles and<br />

Huberman’s (1994) data analysis procedures: data reduction, data display, and conclusion<br />

drawing/verification. During data reduction, interview transcripts were coded using Atlas.ti and<br />

Excel. First, using Atlas.ti, researchers coded comments relevant to the theoretical propositions.<br />

During this stage, the researchers also coded for data that did not fit into the propositions (i.e.,<br />

outliers) and developed new codes for this data. During data display, the researchers merged any<br />

related codes into common themes using Atlas.ti and then exported the data into an Excel<br />

spreadsheet for each theme, called checklist matrices. Lastly, during conclusion drawing/<br />

verification, researchers reviewed the matrices to identify the multiple meanings that emerged<br />

from the data, noting commonalities as well as discrepancies in interpretation.<br />

Findings<br />

On average, the 37 questionnaire respondents most frequently spent time using social<br />

networking sites such as Facebook and MySpace (M = 27.40 hours/week, SD = 77.55), reading<br />

newspapers (M = 7.28 hours/week, SD = 25.15), and reading blogs (M = 7.15 hours/week, SD =<br />

27.12) (see Table 2). As expected, there was a wide variety in the respondents’ media<br />

consumption as evidenced by large standard deviations.<br />

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