11 Milovic
11 Milovic
11 Milovic
1 • Spring 2019
Stefanie R. Milovic
Strategic Communications
Elon University
Abstract
Historically, politicians have looked for efficient and innovative ways to engage with the public and cultivate
supporters, focusing a great deal of attention on social media platforms in recent decades. This study examines
trends in social media engagement rates, specifically on Facebook, between campaigning state politicians
and online users. Data was collected from the Facebook pages of 12 North Carolina state senators (three
Democratic incumbents, three Democratic challengers, three Republican incumbents, and three Republican
challengers). Units of analysis were the posts published by these politicians on their official Facebook pages
during a two-week period. Through both “a priori” and emergent content analysis, three specific findings
surfaced: challengers post more on Facebook than incumbents, Democrats post more on Facebook than
Republicans, and most politicians react but do not respond to user comments. The research also found that
these politicians reply similarly in length and structure to user comments, and most online users reply positively
or do not reply to politicians’ responses. The findings suggest that state politicians should devote more time
responding to user comments and forming online relationships.
I. Introduction
Politicians have historically looked for efficient and innovative ways to engage with the public and key
voters in their state. These promotional methods have gradually changed over time, beginning first with posters
and flyers, transforming to billboards and yard signs, and finally to social media. Most political campaigns today
are a hybrid mix of all these methods and more.
While academic research has been conducted in general on politicians’ use of social media, there is
little to no research on the online relationship between state politicians and Facebook users, as well as the
impact of this online engagement. Due to this lack of research, controversy surrounds social media practices
for campaigning politicians. One such example is the argument about whether or not politicians should respond
to online user comments. Without research, campaigning politicians may make decisions about social media
engagement solely based on personal opinion.
Therefore, this research seeks to address this gap by examining the Facebook pages of campaigning
North Carolina state politicians. This research will qualitatively examine the online activity of these politicians and
quantitatively gauge the politicians’ social media engagement with users. Using content analysis, this research
Keywords: social media engagement, state politicians, online users, incumbents, challengers, response rate
Email: smilovic@elon.edu
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explores the Facebook posts, user comments, and replies from 12 campaigning North Carolina state senators
during a two-week timeframe.
of replying to a customer on social media increases customer advocacy by 20 percent” (Baer, 2017). The
politician/voter relationship has a similar dynamic, and politicians’ campaign methods can often follow the
marketing methods of businesses.
Research Questions
This research seeks to explore campaigning politicians’ use of their official Facebook pages to
respond to and engage with online users. Therefore, the following research questions have been identified:
RQ1. Do North Carolina state senators engage with and respond to online user comments on their
Facebook social media posts?
RQ2. What similarities and differences can be found in social media engagement habits among Democrat
incumbents, Democrat challengers, Republican incumbents, and Republican challengers?
RQ3. What types of comments do campaigning politicians respond to, and how do campaigning
politicians respond to these comments?
RQ4. How do online users reply to politicians’ responses on their comments?
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III. Methods
This research used content analysis methodology to examine Facebook posts generated by
campaigning politicians during a two-week period. This research pays special attention to posts that have
any public comments by online users or the politician. Underpinning this study is uses and gratifications
theory, which seeks “to explain how individuals use mass communication to gratify their needs...to discover
underlying motives for individuals’ media use…[and] to identify the positive and the negative consequences
of individual media use” (“Uses and Gratifications Approach,” 2017). Uses and gratifications theory is applied
to this research for examining how online users comment on politicians’ social media posts, as well as the
motivations behind why the politicians are more likely to reply.
The study examined three Democratic Party incumbents, three Republican Party incumbents, three
Democratic Party challengers, and three Republican Party challengers for a total of 12 politicians running for
state senate in North Carolina. The term “incumbent” is defined in this research as a person who currently
holds the office position. The term “challenger” is defined in this research as a newcomer opposing the person
who currently holds the office position.
To strengthen objectivity in choosing which candidates to monitor, the selection of politicians was
randomized. For example, in the first category of “Democratic Party incumbent,” a random number generator
was used to select a state senate district; the random number generator was repeated until the district had a
Democratic Party incumbent that won the 2018 midterm elections. The same process was then repeated until
all 12 politicians were selected for data collection and analysis. The names and categories of all 12 politicians
are listed in Table 1.
An important point to consider in the selection process is that this research solely uses North Carolina
politicians who ran for state senate in the 2018 midterm election. As considerable research already exists on
federal politicians, this research is made unique by focusing on state politicians. The research only considers
politicians running for state senate, rather than state house, as campaigning state senators have a wider
audience base and are more likely to have a higher number of voters in the district engaging online with the
politician.
Code
The coded units of analysis for this research are the Facebook posts published between October 24,
2018 and November 7, 2018 on the official Facebook pages of all 12 politicians. These dates represent the
last two weeks of the campaigning period leading up to and immediately after the 2018 midterm elections.
104 — Elon Journal of Undergraduate Research in Communications, Vol. 10, No. 1 • Spring 2019
All units of analysis are coded through a priori coding where the code is established prior to
data collection and used uniformly for each unit of analysis. The code for each unit of analysis goes as follow:
1) Number of likes and followers on the Facebook page;
2) Type of post (informational, motivational, congratulatory, multimedia, event);
3) Number of online user reactions by user “liking” or “reacting” to the post;
4) Number of online user comments on the post;
5) Number of online user shares of the post;
6) Reaction rate (defined as the percentage of user comments the politician “liked” on
Facebook);
7) Response rate (defined as the percentage of comments the politician publicly responded to
on Facebook);
8) Number of words in the politician’s response to the user comments;
9) Type of politician’s response to user comments (generic response, detailed response,
referral, citation to external source, other contact method); and
10) Sentiment of the users’ replies to politicians’ responses (positive, negative, neutral, no
response).
IV. Findings
In answering the first research question, it is important to note the key difference between reaction
and response rates from the campaigning politicians. Whereas the majority (eight) of the 12 politicians
reacted to user comments on their Facebook posts, only a few politicians (three) actually responded to user
comments. All three politicians who responded to user comments also reacted to user comments. Based
on these results, the research indicates that campaigning state politicians are two times more likely to react
to user comments than not react at all. Similarly, data suggests that these very same campaigning state
politicians are nearly two times more likely to react to user comments than to respond to user comments. The
reaction and response rates for each analyzed politician can be found in Table 2.
Table 2. Reaction and response rates to online user comments by campaigning politicians.
Politician Average number of Reaction rate Response rate
user comments per
post
Democrat Incumbent #1 3 comments 0% 0%
Democrat Incumbent #2 3 comments 67% 0%
Democrat Incumbent #3 3 comments 79% 0%
Democrat Challenger 7 comments 64% 0%
#1
Democrat Challenger 14 comments 84% 12%
#2
Democrat Challenger 0 comments 0% 0%
#3
Republican Incumbent 4 comments 10% 0%
#1
Republican Incumbent 2 comments 52% 32%
#2
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As Table 2 indicates, the average reaction rate among all 12 politicians is 37%, and the average
reaction rate among all eight politicians who reacted at least once to user comments is 56%. Of the politicians
who reacted to user comments, it is important to note that these eight politicians reacted to more than half of
all comments (56%) they received. On the other hand, the average response rate among all 12 politicians
is 5%, and the average response rate among the three politicians who responded at least once to user
comments is 21%. Of the politicians who responded to user comments, these three politicians responded to a
fifth of all comments (21%) they received.
There seem to be no trends between number of user comments and reaction or response rates.
Additionally, the data suggest that no other relationships exist between the reaction rate and the number of
social media posts the politicians published. Comparably, a slightly positive relationship appears between the
response rate and the number of social media posts the politicians published. The more social media posts
the politicians publish, the higher the response rate.
In terms of the second research question, the similarities and differences in the data among
Democratic incumbents, Democratic challengers, Republican incumbents and Republican challengers require
cross-section analysis.
In regard to politicians’ reaction rates to user comments, each of the four categories has two
politicians that reacted to online users, and one politician that did not react to users. Of the politicians that
reacted to users, this data indicates that Democrats have the highest reaction rates by a considerable margin
(a combined average of 73.5% compared to the Republican combined average of 39%). It is also important
to note that challengers (both Republican and Democratic) have higher reaction rates (combined average of
60%) compared to incumbents overall (52%).
Considering politicians’ response rates to user comments, three categories had one politician that
responded to online users (the Democratic incumbent category has no politicians that responded to users).
Further comparisons are difficult to determine with only three politicians to draw from.
The third research question examined the types of comments politicians responded to, and how
they responded. Emergent coding revealed five categories of comments that were most likely to merit a
candidate response: campaign support, support for the political party, support for the politician, legislative
and ballot questions, and comments against the opposition. Numerically, politicians seem to respond most
often to comments in the categories of support for the political party and support for the politician. With the
exception of one post, politicians only responded to questions and positive comments, rather than to negative
comments.
Campaigning politicians also respond to user comments in a variety of ways, qualitatively
characterized through coding by six emergent categories: contact information, detailed response, generic
response, expression of thanks, citation of external source, and referral to a different person or page.
106 — Elon Journal of Undergraduate Research in Communications, Vol. 10, No. 1 • Spring 2019
Numerically, politicians appear to respond most often with an expression of thanks, generally targeted toward
user comments supporting the political party or politician. In terms of response rate, the data indicates that
politicians most often respond with contact information (targeted toward user comments about campaign
support) and with detailed responses (targeted toward legislative and ballot questions).
Furthermore, all responses by the politicians were quantitatively coded to determine the number of
words per response. The average number of words in the politicians’ responses to each category of user
comment can be found in Table 3. This data suggests that word count in politicians’ responses may drastically
vary based on the category of user response. For example, the category of “legislative and ballot questions”
receives an average response of 32 words whereas the category of “support for the candidate” receives an
average response of seven words. This indicates that politicians may provide more detailed responses to
legislative questions and more simple expressions of thanks to voiced support. However, there appears to be
little to no difference in word count on all response categories among Democratic incumbents, Democratic
challengers, Republican incumbents, and Republican challengers.
Research question four used qualitative sentiment analysis to analyze how online users reply to
politicians’ responses on their comments. Six different categories of sentiment emerged: positive, positive
Facebook reaction, negative, negative Facebook reaction, neutral, and no response. The categories of
“positive Facebook reaction” and “negative Facebook reaction” represent emergent coding to delineate
a user’s Facebook reaction in “liking” politicians’ replies from no response altogether. Similar to the third
research question, it is also important to note this data is composed of only three campaigning politicians who
responded to user comments.
A sentiment analysis of all user replies to politicians’ responses point toward a possible interesting
trend across both political parties. As Table 4 demonstrates, nearly half of online users do not reply at all
to the politicians’ responses. Nearly all other users reply positively, or positively react, to the politicians’
responses. Across all three politicians, only one user replies negatively, and only one user replies in a neutral
manner to the politicians’ responses.
V. Discussion
The findings of this research have interesting implications for the future of politicians’ relationships
with online users over social media. The research findings are broken down into five key themes and
takeaways.
The number of times that politicians post on social media provides useful, yet predictable findings.
Based on the data of these 12 politicians, challengers post more often on Facebook than incumbents.
Democratic candidates, incumbent and challenger, appear to post more often on Facebook than their
Republican counterparts. These two discoveries are not surprising as they align with previous research.
Social media, for example, is used to increase voter outreach and engagement (Vergeer, Hermans & Sams,
2011). This particularly makes sense for a challenger, as this type of candidate is often lesser known than the
already established politician. In addition, young people are the most active demographic on social media
and more likely to affiliate with the Democratic party. Millennials and Generation Z are rapidly getting more
involved with politics as demonstrated by the triple in growth of political activism among 18 to 24 year-olds
since fall of 2016 (“So Much for Slacktivism,” 2018). Therefore, it makes sense that campaigning Democratic
Party politicians spend more time and energy engaging with online users. Furthermore, previous studies have
found that candidates from progressive parties represented the most active users of Twitter as a campaign
tool (Vergeer, Hermans & Sams, 2011).
These findings also point toward a possible trend in regard to politicians’ reaction rates to user
comments. These findings show that eight of the 12 politicians reacted to one or more comments, indicating
that politicians are spending time to engage with users on social media. Previous research suggested that
politicians were more likely to use the broadcast-only model of social media (Stoddart, 2013) although
communication experts agree that the social listening model is the better choice (Grant, Moon & Grant,
2010). The findings of this research suggest that the majority of politicians are reacting to user comments,
thereby engaging with potential voters. This finding may indicate that campaigning politicians are increasingly
employing the social listening model.
It is important to note politicians’ hesitation in responding to user comments. Whereas the 12
politicians’ reaction rate averages 37%, the same 12 politicians’ response rate averages 5 percent. Within this
data sample, only three of the 12 politicians actually responded to user comments. This research suggests
that politicians are far more hesitant in responding to online users than reacting to the comments. One
possible rationale for this stems from politicians’ concerns of negative comments and the time needed to
respond to user comments.
Another interesting implication within these research findings is that politicians received nearly all
positive comments and questions. Furthermore, the sentiment of all user replies to politicians’ responses
are 51.6% positive compared to 1.6% negative. Therefore, if fear of negativity is the primary driver behind
politicians’ lack of response rate, this research indicates that positive comments far outweigh the negative
overall. These findings supplement previous research in debunking the myth that most people commenting on
politicians’ Facebook posts are negative, offensive, and/or trolls (Stoddart, 2013). Subsequently, this research
and indications of positive responses over negative responses may help convince campaigning politicians to
consider responding to user comments more often.
Lastly, research findings have indicated key differences in length between politicians’ responses
to user comments. These findings suggest that politicians compose shorter responses when replying to
supportive comments and longer responses when replying to questions. Whereas politicians respond with an
average of six words to user comments expressing campaign support, these same politicians respond with
an average of 32 words to user questions on legislation and ballots. It is interesting to find that the varying
response length is fairly uniform among the three politicians which, with future research, might lead to a
theory that campaigning politicians -- regardless of political party or incumbency -- have similarly-structured
responses to users.
108 — Elon Journal of Undergraduate Research in Communications, Vol. 10, No. 1 • Spring 2019
Limitations
First and foremost, this research only considers campaigning North Carolina state senators that won
the 2018 midterm elections. Future research may examine campaigning state politicians outside of North
Carolina to compose nationwide generalizations from data. Future research may also analyze campaigning
state politicians that have lost recent elections to compare their online reaction and response rates with
politicians that have won.
Second, this research only pulls data from 12 different politicians. While these politicians represent
24% of the entire North Carolina senate, only three politicians responded to user comments, giving a very
small data sample for research questions 3 and 4. In addition, this research only covers the social media
use of politicians on their official Facebook page. This research is unable to record and analyze politicians’
reaction and response rates to Facebook messages sent by online users. Furthermore, politicians’ reaction
and response rates to user comments may have been different on other social media platforms. Future
research may consider comparing reaction and response rates across multiple social media channels.
VI. Conclusion
This study provides insight specifically into the social media world of campaigning state politicians
and how these politicians engage online with Facebook users. The research not only points to trends in
political communications, but it provides a set of recommendations and structure for future campaigning
politicians to consider and implement.
Using data from 12 of 50 North Carolina state senators elected and re-elected in midterm elections
2018, this study shows how politicians are increasingly getting involved in basic social media engagement
habits by liking and reacting to user comments on Facebook. On the other hand, it suggests that these very
same politicians remain hesitant about responding to user comments. The data also tends to show that
Democrats post more than Republicans, challengers post more than incumbents, and Democrat challengers
post the most on Facebook overall.
When specifically considering politicians’ responses, politicians who respond to comments pay
special attention to questions and craft longer, more detailed responses. These same politicians pay attention
to other comments as well, particularly supportive comments, but to a lesser degree than user questions, as
characterized by the shorter, more generic responses from politicians. In return, most Facebook users do not
reply to politicians’ responses, but when they do, the replies are overwhelmingly positive.
Due to the lack of previous research on state politicians’ communications strategies, this paper is
useful in contributing to the field of political communications, specifically concerning online engagement
trends. This study may prove important by providing direction for future political campaigns in developing
plans to engage with users on social media.
Acknowledgements
Writing a research paper is truly a process with an endless cycle of writing and rewriting. Therefore,
the author would like to thank Dr. Daniel Haygood for his support throughout the year. The author would also
like to thank Dr. Lee Bush, her thesis mentor, for teaching her how to write (and rewrite) professionally.
Vote for Me by Stefanie R. Milovic — 109
References
Anderson, A., Toor, S., Rainie, L., & Smith, A. (2018). Activism in the social media age: Public attitudes toward
political engagement on social media. Pew Research Center. Retrieved from http://www.pewinternet.
org/2018/07/11/public-attitudes-toward-political-engagement-on-social-media/.
Baer, J. (2017). 4 reasons to answer every complaint on social media. Adweek. Retrieved from https://www.
adweek.com/digital/jay-baer-guest-post-4-reasons-to-answer-every-complaint-on-social-media/.
Crawford, K. (2009). Following you: Disciplines of listening in social media. Continuum, 23(4), 525–535.
http://dx.doi.org/10.1080/10304310903003270.
Dodd, M.D. & Supa, D.W. (2014). Conceptualizing and measuring ‘corporate social advocacy’
communication: Examining the impact on corporate financial performance. Public Relations Journal,
8(3), 1-23. Retrieved from https://bellisario.psu.edu/assets/uploads/2014DODDSUPA.pdf.
Effing, R., Van Hillegersberg, J., & Huibers, T. (2011). Social media and political participation: Are Facebook,
Twitter and YouTube democratizing our political systems? In E. Tambouris, A. Macintosh, H. de
Bruijn (Eds.), Lecture Notes in Computer Science, 6847, (25-35). Berlin: Springer. Retrieved from
http://dx.doi.org/10.1007/978-3-642-23333-3_3.
Grant, W.J., Moon, B., & Grant, J.B. (2010). Digital dialogue? Australian politicians’ use of the social network
tool Twitter.” Australian Journal of Political Science, 45(4), 579-604. http://dx.doi.org/10.1080/1036114
6.2010.517176.
Heine, C. (2017). How Airbnb and Lyft are taking action against Trump’s immigration ban. AdWeek.
Retrieved from https://www.adweek.com/digital/how-airbnb-and-lyft-are-taking-action-against-trumps-
immigration-ban/.
Huckfeldt, R. & Sprague, J. (1987). Networks in context: The social flow of political information.
Citizens, Politics, and Social Communication, 81(4), 1197-1216. http://dx.doi.org/10.1017/
cbo9780511664113.007.
Hyken, S. (2017). Social customer care is the new marketing. Forbes. Retrieved from https://www.forbes.com/
sites/shephyken/2017/04/22/social-customer-care-is-the-new-marketing/#6a87e959196c.
Murse, T. (2019). How social media has changed politics. ThoughtCo. Retrieved from https://www.thoughtco.
com/how-social-media-has-changed-politics-3367534.
Not Another Political Zombie. (2009). Retrieved from https://newmatilda.com/2009/02/25/not-another-political-
zombie/.
Number of monthly active Facebook users worldwide as of 3rd quarter 2018. (2018). Retrieved from https://
www.statista.com/statistics/264810/number-of-monthly-active-facebook-users-worldwide/.
Number of monthly active Instagram users from January 2013 to June 2018. (2018).Retrieved from https://
www.statista.com/statistics/253577/number-of-monthly-active-instagram-users/.
Number of monthly active Twitter users in the United States from 1st quarter 2010 to 3rd quarter 2018.
(2018). Retrieved from https://www.statista.com/statistics/274564/monthly-active-twitter-users-in-the-
united-states/.
Rainie, L., Cornfield, M., & Horrigan, J. (2005). The Internet and campaign 2004. The Pew Research Center.
Retrieved from http://www.pewinternet.org/pdfs/PIP 2004 Campaign.pdf.
Roberts, J. (2016). Four models of public relations. In Writing for strategic communication industries.
Columbus, OH: The Ohio State University, Retrieved from https://ohiostate.pressbooks.pub/
stratcommwriting/chapter/four-models-of-public-relations/.
So much for slacktivism, as youth translate online engagement to offline political action. (2018). Retrieved
from http://civicyouth.org/circle-poll-so-much-for-slacktivism-as-youth-translate-online-engagement-
to-offline-political-action/.
110 — Elon Journal of Undergraduate Research in Communications, Vol. 10, No. 1 • Spring 2019
Sashi, C.M. (2012). Customer engagement, buyer-seller relationships, and social media.Management
Decision, 50(2), 253-272. http://dx.doi.org/10.1108/00251741211203551.
Stoddart, A. (2013). Politicians should use Twitter to engage more, and broadcast less. Retrieved from www.
democraticaudit.com/2013/09/28/politicians-need-to-use-twitter-to-engage-more-and-broadcast-less/.
Uses and Gratifications Approach. (2017). Retrieved from https://www.utwente.nl/en/bms/communication-
theories/sorted-by-cluster/Mass-Media/Uses_and_Gratifications_Approach/.
Utz, S. (2009). The (potential) benefits of campaigning via social network sites.” Journal of Computer-
Mediated Communication, 14(2), 221-243. https://doi.org/10.1111/j.1083-6101.2009.01438.x.
Vergeer, M., Hermans, L., & Sams, S. (2011). Online social networks and micro-blogging in political
campaigning. Party Politics, 19(3), 477-501. https://dx.doi.org/10.1177/1354068811407580.