[Commlist] Call for Authors for the Database for Variables of Content Analysis (DOCA)

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*Call for Authors for the **Database for Variables of Content Analysis 
(DOCA)*
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*Link: ***https://t.uzh.ch/1Bn <https://t.uzh.ch/1Bn>

Deadline: March 20, 2024

Database of Variables for Content Analysis (DOCA 
<http://www.hope.uzh.ch/doca>) invites submissions for entries --> 
www.hope.uzh.ch/doca

The *open access* database compiles, systematizes, and evaluates 
relevant content-analytical variables of communication and political 
science research areas and topics.
DOCA simplifies access to common variables and their categories for 
content analysis research. It provides entries for single 
*variables* (e.g., actors, issues...) and more complex theoretical 
*constructs* (often measured by more than one variable e.g., 
americanization).
The database serves as a foundation for answering questions about 
research designs and operationalizations resorting to content analysis 
and helps standardize and compare studies. It also promotes equal 
opportunity among researchers by providing free access to important 
resources.

We are looking for authors for the following variable entries:
Section Basics / Procedures

    • Types of Media Outlets (Website, TV, Print...)
    • Types of Digital/Social Media (Blogs, professional networks,
    platforms…)

Section News / Journalism:

    • News Factors/ News Values; this includes the following variables:
    aggression/conflict, importance, duration, elite/celebrity,
    emotions, continuity, controversy, proximity, reach, relevance,
    (potential) damage/benefit, thematization, scope, and unexpectedness
    • Objectivity
    • Narrativity or narratives
    • Visual framing
    • Political balance
    • Strategy and game framing
    • Framing elements based on Entman (esp. science or health
    communication)
    • Interpretive journalism
    • Alternative news media
    • Journalistic role performance

Section Organizational / Strategic Communication:

    • Storytelling
    • Mediatization (esp. science or political communication)
    • Fear appeals (esp. health communication)

Section Automated Content Analysis

    • Emotions
    • User reactions
    • Visualisations


Of course, you can also send us suggestions for further variables 
anytime. DOCA welcomes state-of-the-art contributions that summarise and 
discuss various operationalisations - usually by other researchers - as 
well as contributions that introduce variables that have been developed 
by the author(s) of the submitted entry themselves. In this way, DOCA 
can also contribute to the further development of operationalisations 
and reflect current research trends.

Each database entry follows (more or less) the following structure:
1. A brief description of the variable or theoretical construct
2. A brief description of the most common field of application / 
theoretical foundation
3. (If applicable) References / combination with other methods of data 
collection
4. A sample operationalization including information about the selected 
study / selected studies (research question/s; analyzed media type) and 
information about the variable or construct (level of analysis, 
reliability score, categories / values)
5. (If available) the codebook / protocol / code or other relevant material

PROCEDURE REGARDING THE CALL
• If you are interested in authoring an entry, please email us at: 
(mfg /at/ ikmz.uzh.ch) <mailto:(mfg /at/ ikmz.uzh.ch)> by March 20, 2024.
• Information on variables or constructs in our database can be found at 
this link: www.hope.uzh.ch/doca <http://www.hope.uzh.ch/doca>.
• You will receive a response within two weeks regarding your acceptance 
and instructions for preparing your entry.
• Please submit your entry, which should be approximately 2 pages long, 
by no later than May 1, 2024.
• If your entry is accepted, we will handle the typesetting, design, and 
publication. Each entry will be assigned a DOI (Digital Object Identifier).
• No fees are charged to authors for submission, evaluation, or 
publication processes.


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