A photograph of two friends talking while swinging on a swing set.
Information is social.
Chapter 12 Domains

Information + social

by Amy J. Ko

When I was in middle school, there were no smartphones and there was no internet. Friendship, therefore, was about proximity: I eagerly woke up and rushed to the bus stop each morning not to get to school, but to see my friends, all of whom lived within a mile of my house. Lunch was always the highlight of the day, where we could share our favorite moments of the latest Pinky and the Brain skit on  Animaniacs , gossip about our teachers, and make plans for after school. On the bus ride home, we would chart out our homework plans, so we could reunite at 4 or 5 pm to play  Super Nintendo  together, play basketball at the local primary school playground, or ride our bikes to the corner store for candy. If we were feeling lonely, we might head to our kitchens to our wired landline phone, call each other’s houses, politely ask whoever answered to give to the phone to our friend, and covertly coordinate our next moves. But our conversations were always in code, knowing full well that our parents or siblings might be listening on another phone, since they all shared the same line.

To be social in the early 1990’s in the United States meant to be together, in the same space, or on the phone, likely with no inherent privacy. This time, of course, was unlike the world before the phone, in that nearly all communication was face to face; and it is unlike today, where almost all communication is remote and often asynchronous. The constant in all of these eras is that to be social is to exchange information, and that we use information and communications technologies (ICTs) to facilitate this exchange. In this chapter, we’ll discuss the various ways that information intersects with the social nature of humanity, reflect on how technology has (and hasn’t) changed communication, and raise questions about how new information technologies might change communication further.

A photograph of people talking at a restaurant
Face-to-face conversations are hard to beat for their intimacy, immediacy, and efficiency.

Information, in the most abstract sense, is a social phenomenon. All human communication is social in that it involves interactions between people. Writing, data, and other forms of archived information are social, in that they capture information that might have otherwise been communicated in forms separate from another person. Even biological information like DNA is social, in that we have elaborate and diverse social norms about how we share our DNA with each other through reproduction. Information is constructed socially, in that we create it with other people, shaped by our shared values, beliefs, practices, and knowledge; and we create it for the purpose shaping the values, beliefs, and practices, and knowledge of other people.

Similarly, information systems, including all of those intended for communication, are  sociotechnical , in that they involve both social phenomena such as communication, as well as technology to facilitate or automate that communication. Libraries are social in that they are shared physical spaces for exchanging and sharing knowledge. The internet is social in that it is a shared virtual space for exchanging and sharing knowledge. Even highly informal information systems, like a group of friends chatting around a table, are sociotechnical, in that they rely on elaborate systems of verbal and non-verbal communication to facilitate exchange 2 2

Michael Argyle (1972). Non-verbal communication in human social interaction. Cambridge University Press.

.

Our social interactions around information can vary along some key dimensions, broadly shaping what is known as  social presence 27 27

John Short, Ederyn Williams, Bruce Christie (1976). The Social Psychology of Telecommunications. John Wiley & Sons.

. For example, one dimension is the  intimacy  of communication, which is the degree to which the many social cues in communication such as physical distance, eye contact, smiling, posture, and conversation topic establish feelings of emotional closeness. Another dimension is  immediacy , which is the degree to which information has urgency in an exchange. Another dimension is  efficiency , which is the degree to which a medium facilitates a message being delivered.

A photograph of a woman texting outside.
Texting, unlike most other forms of communication, is always available

Each information technology has unique properties along these dimensions. For example, consider two popular forms:

  • Face-to-face communication  has high potential for intimacy, immediacy, and efficiency, as it affords multiple parallel channels for exchange, including speech, non-verbal cues, eye contact, facial expressions, and posture. It is also synchronous, in that the delay between sending a message and receiving it is effectively instantaneous because of the high speed of light and sound. And by using other information technology—paper, pens, whiteboards, smartphones, tablets—there is even richer potential to communicate efficiently and intimately through multiple media.
  • Texting  strips away most of the features of face-to-face communication, leaving an asynchronous stream of words, symbols (e.g., emoji), and more recently, images and video. It can achieve a different kind of intimacy because of its privacy, though it has many fewer channels in which to do this, and often results in miscommunication, especially of emotional information 31 31

    Sarah Wiseman, Sandy JJ Gould (2018). Repurposing emoji for personalised communication: Why🍕 means “I love you”. ACM Conference on Human Factors in Computing Systems.

    . Because it is often asynchronous and usually at a distance, there is more time between exchanges, and therefore reduced immediacy. Moreover, because of the reduced channels, may be less efficient for particular kinds of information that are more easily conveyed with speech, gestures, or drawings.

These basic ideas in information and communication are just a fraction of the insights in numerous fields of research.  Communication 5 5

John Fiske (2010). Introduction to Communication Studies. Routledge.

 studies verbal, written, and non-verbal social interactions, detailing the strategies that we have for effectively conveying information to others in different media.  Social Psychology 18 18

William McDougall (2015). An Introduction to Social Psychology. Psychology Press.

 studies the social nature of human beings and how our many social biases (e.g., in-grouping, which is the tendency to create artificial tribal boundaries around social interaction), influence what information we share and with whom and who we trust.  Organizational Behavior 26 26

John R. Schermerhorn, Jr., Richard N. Osborn, Mary Uhl-Bien, James G. Hunt (2011). Organizational Behavior. Wiley.

 studies how social psychology and communication affect the shared goals we pursue through work. And  Social Computing 23 23

Manoj Parameswaran, Andrew B. Whinston (2007). Social computing: An overview. Communications of the Association for Information Systems.

 is a part of computing and information sciences that is concerned with all of these phenomena as they relate to computing, including computer-supported collaborative work, computer-mediated communication, and online communities.

A screenshot of Reddit from December 31st, 2020
Reddit hosts countless communities, each with its own interests, values, policies, and norms.

One place that these foundational aspects of communication play out is in  communities , which may be anything from groups of people with strong ties to much larger groups that share some affinity, such as an interest, identity, practice, or belief system 29 29

Etienne Wenger (1999). Communities of Practice: Learning, Meaning, and Identity. Cambridge University Press.

. A group of friends is a community, a church is a community, a university is a community, a hospital is a community, workplaces are communities, and even much broader affinity groups, such as LGTBQ+ people are community. None of these imply a particular strength of relational ties or homogeneity in experience—the LGBTQ+ community, for example, can be exceptionally heterogenous, with great rifts between different groups in experience, priorities, and beliefs. It is therefore not similarity that brings people together, but simply relationships around shared identities.

Communities relate to information in that much of what communities do is exchange information. Communities curate information with each other to promote learning and awareness, like active Wikipedia contributors create shared identity and practices around curating knowledge about special interests 24 24

Christian Pentzold (2010). Imagining the Wikipedia community: What do Wikipedia authors mean when they write about their ‘community’?. New Media & Society.

. Communities provide expertise, as when software developer with particular technical expertise provide answers on Stack Overflow to common questions 16 16

Lena Mamykina, Bella Manoim, Manas Mittal, George Hripcsak, and Björn Hartmann (2011). Design lessons from the fastest Q&A site in the west. ACM Conference on Human Factors in Computing Systems.

. And communities shape beliefs, as when conspiracy communities leverage identity affirmation strategies to create tightly bound in-groups 22 22

Shruti Phadke, Mattia Samory, and Tanushree Mitra (2020). What Makes People Join Conspiracy Communities? Role of Social Factors in Conspiracy Engagement. ACM Conference on Computer Supported Cooperative Work and Social Computing.

. Therefore, when we consider the role of communities in information, it becomes clear that much of what information means is determined by the shared identities in our communities in which we create it.

A screenshot of a Kayne West tweet, “It’s 1 am and I can’t stop thinking about myself.”
Sometimes you just need to tell the world what’s on your mind.

The internet has led to a rapid exploration of information technologies to support community, revealing two major types of community supports. One support is  broadcasting . Much like newspapers, radio, and television, online social media is often used to broadcast to community, where one person or a group of people broadly disseminate information to a broader community. It includes Usenet, which were the threaded discussion forums that shaped the internet and inspired later websites like Slashdot, Digg, and Reddit 10 10

Michael Hauben, Ronda Hauben, Thomas Truscott (1997). Netizens: On the History and Impact of Usenet and the Internet. Wiley.

. They include blogging and micro-blogging such as the posting features of Instagram and Facebook, in which people broadcast personal experiences to seek affirmation, feedback, and connection 20 20

Bonnie A. Nardi, Diane J. Schiano, and Michelle Gumbrecht (2004). Blogging as social activity, or, would you let 900 million people read your diary?. ACM Conference on Computer Supported Cooperative Work and Social Computing.

. And it includes the darker parts of the web, such as 4chan and /b/, which spawn humor, but also conspiracy theories and hate speech 3 3

Michael Bernstein, Andrés Monroy-Hernández, Drew Harry, Paul André, Katrina Panovich, and Greg Vargas (2011). 4chan and/b: An Analysis of Anonymity and Ephemerality in a Large Online Community. AAAI Conference on Web and Social Media.

, as well as platforms like Gab, which amplify both free speech and hate speech resisting moderation 17 17

Binny Mathew, Anurag Illendula, Punyajoy Saha, Soumya Sarkar, Pawan Goyal, and Animesh Mukherjee (2020). Hate begets Hate: A Temporal Study of Hate Speech. ACM Proceedings of Human-Computer Itneraction.

.

Other communities are more focused on  discourse , where communication is not primarily about broadcasting from one to many, but more mutually interactive communication and conversation. Most notably, since its launch, Facebook has been seen as a place to maintain close relationships, talking about shared interests, celebrating life milestones, or providing support in trying times 14 14

Cliff Lampe, Nicole B. Ellison, and Charles Steinfield (2008). Changes in use and perception of Facebook. ACM Conference on Computer Supported Cooperative Work and Social Computing.

. This also includes mailing lists, such as those used by cancer survivors to provide mutual support and aid 19 19

Andrea Meier, Elizabeth Lyons, Gilles Frydman, Michael Forlenza, and Barbara Rimer (2007). How cancer survivors provide support on cancer-related Internet mailing lists. Journal of Medical Internet Research.

. General purpose social media websites often fail to protect marginalized communities from hate speech and harassment that emerges in discourse, and so some sites have emerged with specific supports for preventing these phenomena; for example, trans communities have created sites that ensure safety, privacy, content warnings, and strict moderation to safe spaces for support and encouragement 9 9

Oliver L. Haimson, Justin Buss, Zu Weinger, Denny L. Starks, Dykee Gorrell, and Briar Sweetbriar Baron (2020). Trans Time: Safety, Privacy, and Content Warnings on a Transgender-Specific Social Media Site. ACM Proceedings on Human-Computer Interaction.

.

A screenshot of a very bright pink MySpace page.
MySpace, which was the largest social networking service from 2005 to 2008, with 100 million active users.

It is rare that communities last forever. Some of the key reasons communities fade include 4 4

Casey Fiesler, Brianna Dym (2020). Moving Across Lands: Online Platform Migration in Fandom Communities. ACM Proceedings of Human-Computer Interaction.

:

  • Its members’ needs and interests change, and so they leave one community for another.
  • A platform’s underlying information technology of a platforms decays, reducing trust in the archiving of information and the availability of the platform, resulting in migration to new platforms that are better maintained.
  • Platform maintainers make design changes that are disruptive to community norms, such as the infamous  2018 Snapchat redesign  that condensed stories and snapchats into a single “Friends” page.
  • Platform policies evolve to become hostile to a community’s values, or a community’s values evolve and policies do not. For example, many experience harassment on Twitter, struggling to maintain block lists, and therefore leave 11 11

    Shagun Jhaver, Sucheta Ghoshal, Amy Bruckman, and Eric Gilbert (2018). Online harassment and content moderation: The case of blocklists. ACM Transactions on Computer-Human Interaction.

    .

These demonstrate that while a community’s communication is key, so are the underlying information systems designed and maintained to support them.

One key design choice in online communities is how to handle content moderation. All communities moderate somehow; at a minimum, platforms may only allow people with accounts to post, or may disallow content that is illegal where the community or platform operates. Most social media companies have a set of rules that govern what content is allowed, and they enforce those rules to varying degrees. For example,  Twitter  does not currently allow violent threats, promotions of terrorism, encouragement of suicide, doxxing, or harassment. However, it does allow other content, such as  gaslighting , which is a form of abuse that makes victims seem or feel “crazy” 28 28

Paige L. Sweet (2019). The sociology of gaslighting. American Sociological Review.

. Because of the challenges of centralizing moderation, many researchers are investigating new forms of decentralized moderation, such as online harassment moderation systems that use friends instead of platform maintainers or moderators 15 15

Kaitlin Mahar, Amy X. Zhang, David Karger (2018). Squadbox: A Tool to Combat Email Harassment Using Friendsourced Moderation. ACM Conference on Human Factors in Computing Systems.

.

A photograph of a group of people engaging in teamwork.
Teamwork is social, but it’s also informational.

Whereas communities often bring people together to share information about interests and identities,  work  is an entirely different form of social interaction, bringing people together to accomplished shared goals. As with communities, information and information technologies are central to work.

One way that information is central is that information facilitates  collaboration , in which a group of people together to achieve a shared goal. Collaboration includes activities like  pair programming , in which software developers write code together, making joint decisions, helping each other notice problems, and combining their knowledge to improve the quality of code 30 30

Laurie A. Williams, Robert R. Kessler (2000). All I really need to know about pair programming I learned in kindergarten. Communications of the ACM.

. Another example is using collaborative editing tools like  Google Docs  to create shared documents 12 12

Young-Wook Jung, Youn-kyung Lim, and Myung-suk Kim (2017). Possibilities and limitations of online document tools for design collaboration: The case of Google Docs. ACM Conference on Computer Supported Cooperative Work and Social Computing.

. Collaboration benefits from information by helping establish what communications researchers call  grounding  (a shared understanding of what is being talked about), and  awareness  (knowledge of what a collaborator is working on) 7 7

Darren Gergle, Robert E. Kraut, and Susan R. Fussell (2013). Using visual information for grounding and awareness in collaborative tasks. Human–Computer Interaction.

. These two distinct kinds of information are independently important for helping collaborators work toward shared goals, and information technologies must provide them to facilitate collaboration. For example, in group projects, it is equally important to develop agreement about what is being worked on (grounding), as well as sending regular updates about progress on that work (awareness). However, collaboration technologies can offer features that combine both of these information needs into a single feature. For example, the fact that Google Docs provides real-time awareness of where a collaborator’s cursor is provides both awareness (because it indicates what a collaborator is working on) and grounding (because it is a proxy for what they might be talking about).

A photograph of a Nascar pit crew changing tires
A pit crew coordinates a shared goal, each person with a different job, but shared awareness of progress on individual tasks.

Whereas collaboration is about people in tandem toward a shared goal,  coordination  is about people working separately, and often asynchronously toward a shared goal, separated by time and space. For example, coordination includes large teams of software developers independently working on an application, but eventually integrating their work into a coherent whole 25 25

Rachel Potvin, Josh Levenberg (2016). Why Google stores billions of lines of code in a single repository. Communications of the ACM.

. It also includes teams of doctors, nurses, and medical assistants coordinating care for patients 6 6

Geraldine Fitzpatrick, Gunnar Ellingsen (2013). A review of 25 years of CSCW research in healthcare: contributions, challenges and future agendas. Computer Supported Cooperative Work.

. Coordination does not require grounding, in the sense that communication may be less synchronous, but it still requires—even more so—awareness of others’ work, as well as awareness of  dependencies  between different aspects of work. Without these two forms of awareness, teammates might do redundant work that has to be merged, conflicting work that has to be redone, or incoherent work that can’t be integrated. Information technologies are key to providing this awareness of dependencies, sharing updates about teammates’ contributions, warnings about conflicting work.

Amazon Mechanical Turk helps you delegate work to strangers, but it doesn’t pay fair wages.

In general, information technologies struggle to support collaboration and coordination, especially in conditions like remote work where the baseline capacity for communication is low. Distance work, for example, really only succeeds when groups have high common ground, loosely coupled work with few dependencies, and a strong commitment to collaboration technologies, reducing the need for synchronous communication 21 21

Gary M. Olson, Judith S. Olson (2009). Distance matters. Human-Computer Interaction.

. One active area of research on ensuring these conditions is crowd work, in which groups of strangers come together to complete tasks (Wikipedia, Mechanical Turk, Uber, 99designs, TopCoder); all of these succeed because there is almost no requirement for coordination, collaboration, or communication, and tasks are well-specified 13 13

Aniket Kittur, Jeffrey V. Nickerson, Michael Bernstein, Elizabeth Gerber, Aaron Shaw, John Zimmerman, Matt Lease, and John Horton (2013). The future of crowd work. ACM Conference on Computer Supported Cooperative Work and Social Computing.

. In contrast, groups that have poor common ground and/or highly coupled work with significant dependencies experience much higher demand for communication, straining relationships and complicating work.

Information technology has struggled to prevent these strains for many reasons. First and foremost, research is clear on what aspects of face-to-face communication are necessary and why they are necessary, but even after decades of research, technology simply cannot support them 1 1

Mark S. Ackerman (2000). The intellectual challenge of CSCW: the gap between social requirements and technical feasibility. Human-Computer Interaction.

. For example, we know that for video chat to have the same fidelity as face to face chat that it needs no latency, clear visibility of non-verbal gestures, natural eye contact, and a sense of shared space, but none of these are yet viable. 

Organizations are also often ineffective at deploying collaboration tools 8 8

Jonathan Grudin (1988). Why CSCW applications fail: problems in the design and evaluation of organizational interfaces. ACM Conference on Computer Supported Cooperative Work and Social Computing.

:

  • There are disparities between who does the work and who benefits. For example, using meeting scheduling software that allows the scheduler to easily see busy status helps the scheduler, but requires everyone else to carefully maintain their busy status.
  • Collaboration tools require critical mass. For example, if only some people on your team adopts Slack, Slack is less useful, because you don’t get the information you need from the entire team.
  • Collaboration tools don’t handle exceptions well. For example, sharing a Google Doc with someone without a Google account either requires exporting it, opening up permissions, or not sharing it with them at all.

Thus, despite many decades of innovation and adoption in industry, working together still works best face-to-face in the same physical space.


Clearly, information technology has changed how we communicate, and in some ways, it has even changed what we communicate, allowing us to share more than words. And yet, as we have seen throughout this chapter, it hasn’t really changed the fundamental challenges of communication, nor has it supplanted the richness of face-to-face communication. What it has done is expanded the ways we communicate, and deepened our understanding of what makes communication work, challenging us to adapt to an ever more complex array of ways of being social.

References

  1. Mark S. Ackerman (2000). The intellectual challenge of CSCW: the gap between social requirements and technical feasibility. Human-Computer Interaction.

  2. Michael Argyle (1972). Non-verbal communication in human social interaction. Cambridge University Press.

  3. Michael Bernstein, Andrés Monroy-Hernández, Drew Harry, Paul André, Katrina Panovich, and Greg Vargas (2011). 4chan and/b: An Analysis of Anonymity and Ephemerality in a Large Online Community. AAAI Conference on Web and Social Media.

  4. Casey Fiesler, Brianna Dym (2020). Moving Across Lands: Online Platform Migration in Fandom Communities. ACM Proceedings of Human-Computer Interaction.

  5. John Fiske (2010). Introduction to Communication Studies. Routledge.

  6. Geraldine Fitzpatrick, Gunnar Ellingsen (2013). A review of 25 years of CSCW research in healthcare: contributions, challenges and future agendas. Computer Supported Cooperative Work.

  7. Darren Gergle, Robert E. Kraut, and Susan R. Fussell (2013). Using visual information for grounding and awareness in collaborative tasks. Human–Computer Interaction.

  8. Jonathan Grudin (1988). Why CSCW applications fail: problems in the design and evaluation of organizational interfaces. ACM Conference on Computer Supported Cooperative Work and Social Computing.

  9. Oliver L. Haimson, Justin Buss, Zu Weinger, Denny L. Starks, Dykee Gorrell, and Briar Sweetbriar Baron (2020). Trans Time: Safety, Privacy, and Content Warnings on a Transgender-Specific Social Media Site. ACM Proceedings on Human-Computer Interaction.

  10. Michael Hauben, Ronda Hauben, Thomas Truscott (1997). Netizens: On the History and Impact of Usenet and the Internet. Wiley.

  11. Shagun Jhaver, Sucheta Ghoshal, Amy Bruckman, and Eric Gilbert (2018). Online harassment and content moderation: The case of blocklists. ACM Transactions on Computer-Human Interaction.

  12. Young-Wook Jung, Youn-kyung Lim, and Myung-suk Kim (2017). Possibilities and limitations of online document tools for design collaboration: The case of Google Docs. ACM Conference on Computer Supported Cooperative Work and Social Computing.

  13. Aniket Kittur, Jeffrey V. Nickerson, Michael Bernstein, Elizabeth Gerber, Aaron Shaw, John Zimmerman, Matt Lease, and John Horton (2013). The future of crowd work. ACM Conference on Computer Supported Cooperative Work and Social Computing.

  14. Cliff Lampe, Nicole B. Ellison, and Charles Steinfield (2008). Changes in use and perception of Facebook. ACM Conference on Computer Supported Cooperative Work and Social Computing.

  15. Kaitlin Mahar, Amy X. Zhang, David Karger (2018). Squadbox: A Tool to Combat Email Harassment Using Friendsourced Moderation. ACM Conference on Human Factors in Computing Systems.

  16. Lena Mamykina, Bella Manoim, Manas Mittal, George Hripcsak, and Björn Hartmann (2011). Design lessons from the fastest Q&A site in the west. ACM Conference on Human Factors in Computing Systems.

  17. Binny Mathew, Anurag Illendula, Punyajoy Saha, Soumya Sarkar, Pawan Goyal, and Animesh Mukherjee (2020). Hate begets Hate: A Temporal Study of Hate Speech. ACM Proceedings of Human-Computer Itneraction.

  18. William McDougall (2015). An Introduction to Social Psychology. Psychology Press.

  19. Andrea Meier, Elizabeth Lyons, Gilles Frydman, Michael Forlenza, and Barbara Rimer (2007). How cancer survivors provide support on cancer-related Internet mailing lists. Journal of Medical Internet Research.

  20. Bonnie A. Nardi, Diane J. Schiano, and Michelle Gumbrecht (2004). Blogging as social activity, or, would you let 900 million people read your diary?. ACM Conference on Computer Supported Cooperative Work and Social Computing.

  21. Gary M. Olson, Judith S. Olson (2009). Distance matters. Human-Computer Interaction.

  22. Shruti Phadke, Mattia Samory, and Tanushree Mitra (2020). What Makes People Join Conspiracy Communities? Role of Social Factors in Conspiracy Engagement. ACM Conference on Computer Supported Cooperative Work and Social Computing.

  23. Manoj Parameswaran, Andrew B. Whinston (2007). Social computing: An overview. Communications of the Association for Information Systems.

  24. Christian Pentzold (2010). Imagining the Wikipedia community: What do Wikipedia authors mean when they write about their ‘community’?. New Media & Society.

  25. Rachel Potvin, Josh Levenberg (2016). Why Google stores billions of lines of code in a single repository. Communications of the ACM.

  26. John R. Schermerhorn, Jr., Richard N. Osborn, Mary Uhl-Bien, James G. Hunt (2011). Organizational Behavior. Wiley.

  27. John Short, Ederyn Williams, Bruce Christie (1976). The Social Psychology of Telecommunications. John Wiley & Sons.

  28. Paige L. Sweet (2019). The sociology of gaslighting. American Sociological Review.

  29. Etienne Wenger (1999). Communities of Practice: Learning, Meaning, and Identity. Cambridge University Press.

  30. Laurie A. Williams, Robert R. Kessler (2000). All I really need to know about pair programming I learned in kindergarten. Communications of the ACM.

  31. Sarah Wiseman, Sandy JJ Gould (2018). Repurposing emoji for personalised communication: Why🍕 means “I love you”. ACM Conference on Human Factors in Computing Systems.