In my summary of this week’s chapter, I started by stating that research in social media and strategic communication helps professionals understand whether their content and strategies are actually working.
But in course of the week, I have been reflecting on these questions: why do we share? What motivates us to share? Do we share to connect or to cash in or both? Or maybe just to show off? I know this sounds awful, but I am referring to our identity performance, that is, how we show our values, signal our tastes, which is the way human beings have always communicated their status or sense of belonging.
But to share is to spread. Unlike when spreading the media was top-down (think traditional broadcasting etc.), social media spreads sideways especially because audiences/consumers/followers choose to share.
Sharing is content’s oxygen. When sharing stops, the oxygen supply is halted, and content becomes invisible and irrelevant. It dies. If it doesn’t spread, it quietly stops to matter.
To share is also to participate in embellishing the content because the process of sharing offers feedback to the creator. Conversations about content reveals what audience care about, and how they interpret the content. In this process, creators build relationships with audiences who become co-creators because they help in making the message matter.
If creators of content have economic intentions, audiences/sharers are driven by social reasons when sharing content. When we share content, our intention is not to help the creator make money. We share what we consider to be a resource or a gift to a friend (friend is here broadly defined). Creators often see media as a product; consumers/ audiences see or experience it as a gift. Promoting someone else’s economic interest is rarely the point among everyday users. Users value their friends more than they value producers. Sharing works best when a) content has social value to the person sharing it, and b) when it creates economic value for the creator
The tension between gift and commodity, expression and promotion, is at the core of social media research.
Wachanga @ February 6, 2026
Monitoring, Listening, and Analysis
Research in social media and strategic communication helps professionals understand whether their content and strategies are actually working. In this context, research means the systematic gathering of information, while metrics refer to data that are collected consistently over time. Because social media platforms, tools, and algorithms change rapidly, professionals must constantly stay up to date. Research and analytics are now among the most demanding and valuable functions in social media work.
Research plays a critical role in shaping content and message strategies. Rather than relying blindly on data collected by others, organizations should understand how data are gathered and what they truly mean.
Analytics involve calculating and interpreting data to assess performance. For example, when organizations pay for sponsored posts, metrics help them evaluate whether the investment was worthwhile and whether the content achieved its intended goals. One advantage of social media over traditional media is this high level of accountability, where performance can be tracked in real time. But not all metrics are created equal.
Advanced metrics, such as click-through rates and conversion rates, reveal how audiences behave, while vanity metrics, such as likes, followers, comments, and shares, mainly indicate visibility. Vanity metrics can be useful and should still be included in reports, but they do not tell the full story on their own. Effective research looks beyond surface-level popularity to understand audience engagement, behavior, and impact. This is especially important when evaluating brand placements, sponsored content, and long-term investments in social media.
Research is needed in social media to guide marketing and communication practices. In many organizations, research and analytics may exist as a separate department, but social media professionals must still understand the data to humanize the brand and communicate authentically. Research also helps organizations present themselves consistently and strategically. Social media data can be categorized into owned data, which comes from a brand’s own platforms, and organic data, which comes from audience interactions and conversations happening naturally online.
A key concept in social media research is the distinction between monitoring and listening. Monitoring focuses on tracking performance based on specific objectives, such as mentions, engagement, or growth. Listening goes deeper by examining meaning, sentiment, and context behind what audiences are saying. Monitoring is more evaluative, while listening is more interpretive and relationship oriented.
Both monitoring and listening help organizations identify influencers, evaluate potential partnerships, track positive and negative trends, and measure audience growth. These practices also allow brands to understand tone and sentiment, respond to unhappy customers, identify risks and potential crises, and refine key performance indicators. Monitoring and listening can reveal valuable insights about when and where to post, how competitors behave, and how audiences intend to act. Ultimately, these tools help measure the overall health of a brand’s online community.
Social media research relies on different types of metrics. Basic metrics are collected directly from platforms, while advanced metrics focus on advocacy and outcomes. Channel metrics are specific to individual platforms, and behavioral metrics examine actions such as downloads or purchases. Examples include conversion rate, which measures how many users complete a desired action, and amplification rate, which shows how often content is shared. A strong monitoring and listening plan should include metrics from multiple categories and always ties it to the overall communication objectives.
Implementing an effective monitoring and listening plan requires clear responsibilities, proper training, and clearly defined areas of focus. Organizations must ensure that insights gained from analytics and research directly inform content creation and strategy.
When using platform-based tools and services, organizations should carefully evaluate what metrics a tool provides, how data are collected, the payment model, and the quality of training offered. No single tool can meet all research needs, which is why careful planning and comparison are essential. Social media dashboards are often used as “one-stop shops” to bring together monitoring, listening, and strategy.
Social research integrates monitoring, listening, and strategic decision-making. Because tools vary in focus and strengths, professionals must ask the right questions when selecting metrics and interpreting results.
Finally, there are important dos and don’ts in social media research and analysis. Organizations should designate trained individuals for monitoring and listening, invest in the right tools, and apply insights creatively and strategically. Engaging directly with audiences is essential, and clear engagement policies should guide responses. At the same time, professionals must be cautious not to let vanity metrics distort conclusions, especially when engagement may come from fake or spam accounts. Filtering out unreliable data ensures more accurate and ethical research outcomes.
Wachanga @ January 31, 2026