Are Ethics and Etiquette Outdated in 2024? An Updated Look at My 2016 Social Media Etiquette & Ethics Guide.

It’s a great time for reflection as we look back on last year and forward to 2024. A colleague recently shared on LinkedIn Pew Research Center’s “Striking findings from 2023.” What stood out to me was the significant increase in calls for restricting false information on social media – 55% believe government and 65% believe tech companies should (up from just 39% and 56% in 2018).

In 2022 Pew Research found 65% believe social media makes us more informed on current events, but 85% were concerned with how easily social media can manipulate people with false information.

In 2015, the year the first edition of Social Media Strategy was published social was fairly new. I didn’t have a chapter on law or ethics. A professor asked that I cover law, ethics, and etiquette in the next edition.

I created a Social Media Ethics & Etiquette Guide on this blog in 2016.

In creating the guide I found social media needs a unique approach as it brings our personal, professional, and working lives together in ways mass media could not. Social media is highly interactive, easily scalable, nearly real-time, and blurs the lines between personal and professional.

This is where ethics and etiquette become important. Ethics studies ideas about good and bad behavior and Etiquette is the proper way to behave. Both are important in Professionalism, or the skill, good judgment, and polite behavior expected from a person trained to do a job.

I found it useful to look at actions from three perspectives: Personal (as an individual), Professional (as an employee or perspective employee), and Brand (as a social media manager). I created questions to consider for each category in the 2016 Social Media Etiquette and Ethics Guide.

What to Consider for Personal Posting.

  • Is it all about me? No one likes someone who only talks about themselves.
  • Am I stalking someone? Be driven and persistent but not too aggressive.
  • Am I spamming them? Don’t make everything self-serving.
  • Am I venting or ranting? Don’t post negative comments or gossip. It doesn’t look or feel good.
  • Did I ask before I tagged? People have different comfort levels so check before you tag.
  • Did I read before commenting or sharing? Don’t assume – fully review posts, people, and articles.
  • Am I grateful and respectful? Respond and thank those who engage with you.
  • Is this the right medium for the message? Consider people’s feelings before saying it on social.
  • Am I on the right account? Don’t post personal information on brand accounts.

What To Consider For Professional Posting.

  • Does it meet the social media policy? Know and follow employer or client policy requirements.
  • Does it hurt my company’s reputation? Certain content/behavior may have a negative impact.
  • Does it help my company’s marketing? Have a positive impact and consider employee advocacy.
  • Would my boss/client be happy to see it? Even private accounts are never fully private and could be shared.
  • Am I being open about who I work for? Be transparent about financial connections when sharing opinions.
  • Am I being fair and accurate? Constructive criticism is best and so is opinion backed by evidence.
  • Am I being respectful and not malicious? Don’t post what you wouldn’t say to someone in person.
  • Does it respect intellectual property? Not everything on the internet or social media is free.
  • Is this confidential information? Ensure you don’t disclose nonpublic company or client information.

What to Consider for Brand Posting.

  • Does it speak to my target market? Focus on your target audience’s wants and needs, not yours.
  • Does it add value? Make your content educational, insightful, or entertaining to grab audience interest.
  • Does it fit the social channel? Don’t post content ideal for Twitter/X on Instagram, Reddit or Pinterest.
  • Is it authentic and transparent? Don’t trick people into clicking or hide important relevant information.
  • Is it real and unique? Don’t use canned responses, create spam, or pass off AI content as your own.
  • Is it positive and respectful? Don’t belittle competitors or customers (unless you’re Wendy’s and roasting is your brand).
  • Does it meet codes of conduct? Consider AMA’s, AAAA’s, or PRSA’s Code of Ethics.
  • Does it meet all laws and regulations? See the FTC and other government guides on social media requirements.
  • Does it meet the social media policy? Ensure you follow company and client policy standards.

Do I listen twice as much as I talk? Make sure you fully understand what you’re commenting and posting about.

(Click on the template image to download a PDF)

Are social media ethics and etiquette outdated today?

Much has changed in 7 years, and I sometimes wonder if some of these questions may appear naïve or outdated. After all, clients want results and increasingly studies tell us lies and negativity raise engagement which typically leads to sales.

Research in the journal Science on Twitter/X found falsehoods were 70% more likely to be retweeted/reposted than the truth. Verified truth posts took 6 times longer to reach 1,500 people than verified false posts.

In the journal Nature research found negative words in headlines increased consumption. Each additional negative word increased the click-through rate by 2.3%.

The Wall Street Journal reports companies frequently use fake reviews to sell more products fooling even seasoned shoppers. And it looks like Sports Illustrated may have been publishing AI-generated articles by fake writers to keep up with content and engagement demands.

Are lies and negativity simply the way you do business on social media?

I believe Advertising Hall of Fame member Bill Bernbach would disagree. He understood the power of media and the responsibility of those who create it.

Bernbach said, “All of us who professionally use the mass media are the shapers of society. We can vulgarize that society. We can brutalize it. Or we can help lift it onto a higher level.”

Social media marketing only works if it’s seen as credible.

When we abuse our professions by not following the law, by being unethical, or by not following good etiquette, credibility is lost. Once you lose credibility, people stop listening. If people stop listening, we won’t have a profession.

This past semester a colleague wrote about an ethical situation a student faced. An internship employer wanted social media customer questions and responses to highlight company products as solutions, but they didn’t have any real customer questions.

The possible future employer asked the student to create the questions and fake customers to ask them. The solutions would be real, but the customers and questions would be lies. Is this okay?

Unfortunately, ethical dilemmas aren’t rare. A 2020 survey published in Harvard Business Review found 23% of U.S. employees feel pressure to do things they know are wrong. More witness unethical behavior like rule violations (29%) and lying (27%). Employees describe ethically questionable actions as being specifically demanded of them or implied to meet time pressures, productivity goals, or make the company look better.

Perhaps we need a “we’re lying” disclaimer on social media.

I used to teach a law and ethics course required for students in an advertising program. An example I used in class was the famous Joe Isuzu ads from the late 1980’s and early 2000’s. The brand spokesperson gave false claims about Isuzu’s car and trucks.

The false information was okay because everyone knew he was lying. It was done as a joke with outlandish claims such as the Impulse Turbo was as fast as a speeding bullet (915 mph). The ads even told you in big bold type “Sounds like a lie,” and “He’s lying.” No one truly believed it.

Should we add “we’re lying” to some of our social media content like the Joe Isuzu ads?

Just because you can or because others are doesn’t mean you should.

As a social media professional, we can’t restrict false information on social media. We also don’t control the algorithms that may emphasize negative posts. But we do have a choice to hold ourselves to a higher standard.

What are our professional responsibilities in using social media? If current incentives are to vulgarize and brutalize it, should we follow? Or should we follow Bernbach’s advice and strive to lift it onto a higher level?

This Was Human Created Content!

Generative AI Has Come Quick: What’s Out, What’s Coming, and What to Consider.

A table of Generative AI tool options.

ChatGPT was released to the public six months ago and quickly became the fastest application to reach 100 million users. OpenAI reached this milestone in just two months compared to TikTok’s 9 months and Instagram’s 2 ½ years.

The result of this enormous attention is that the world has quickly become aware of the advanced capabilities of generative AI. As of March 2023, 87% of consumers had heard of AI and 61% somewhat understood what generative AI is and how it works.

ChatGPT generates text from text prompts through a chatbot, but that’s not all generative AI can do. The popularity of ChatGPT also brought attention to OpenAI’s image generation tool. DALL-E 2 generates images from text prompts through a chatbot.

A table listing and describing generative AI integration in major software platforms.
Which generative AI tools will you use for digital and social media marketing?

Despite the mass attention, AI tools have been around for years.

I first wrote about AI in a 2019 post “Artificial Intelligence And Social Media. How AI Can Improve Your Job Not Steal It.” In it, I talked about how AI was being used in algorithms, automation, machine learning, natural language processing, and image recognition.

That post also talked about how AI was used in chatbots to simulate human conversion, in predictive and prescriptive analytics, and in content generation. Examples included Patern89 which has been using AI to analyze content combinations and placement for optimization since 2016. Another example was Clinch which has used AI for content automation and personalized dynamic ad content across channels for years.

Since ChatGPTs release, there’s been a race to integrate generative AI.

The race began with ChatGPT being added to Microsoft’s Bing search engine. Then Google announced plans to integrate its generative AI Bard into Google search. Other platforms quickly announced integrations with OpenAI’s ChatGPT and Google’s Bard such as Salesforce, Hootsuite, HubSpot, and Adobe. Microsoft and Google are even integrating ChaptGPT and Bard into Microsoft 365 and Google Workspace office software for writing, spreadsheets, and slides.

Yet they’re not the only options. Other generative AI tools include Jasper.ai and Copy.ai, for writing, and Midjourney and Stable Diffusion for image generation. Tools like Synthsia generates videos with human avatars and professional voiceovers from text prompts. Other examples of generative AI are summarized below.

  AI content generation tool uses:

  • Content research/Data collection
  • Brainstorming/Idea generation
  • Copywriting/Copyediting
  • Summarizing/Note taking
  • Image (photo/illustration) generation
  • Video clip/Podcast clip generation
  • Transcript generation/Automated post prep
  • Ad/Post variation generation
  • Video generation
  • Podcast/Voice over generation
  • Presentation generation

Generative AI tools come with new skills and considerations.

A new skill with these next gen tools is prompt writing. Prompts are the natural language used to ask a generative AI tool to produce something. More descriptive specific prompts produce better results like prompts that describe the tone of writing or style of an image. Yet be mindful potential of copyright issues with prompts to create text or an image in the style of a famous person without their permission.

A new consideration is the data set from which you train AI. Generative AI tools like ChatGPT are trained on data from the open internet. This is what makes it so powerful, but this is also what can lead to copyright issues and sometimes create bias or incorrect results.

Other AI tools like Jasper.ai allow you to train on a specific dataset. For example, a brand could upload all its previous materials to establish a brand voice to write new copy. Adobe’s Firefly draws from Adobe’s stock library and tracks creator images used to ensure copyright compliance.

With the explosion of AI comes limitations and cautions.

Despite the mass adoption, this technology is in its early stages. There hasn’t been a lot of testing. Regulations, laws, and professional standards have yet to be developed. HubSpot suggests the following limitations, cautions, and warnings in using generative AI tools.

  Cautions when using generative AI:

  • AI can’t conduct original research or analysis.
  • AI can get things wrong so you must fact check.
  • AI doesn’t have lived experience and human insight.
  • AI doesn’t ensure quality, strategy, and nuance.
  • AI can contain biases that are not caught by filters.
  • AI can have plagiarism and copyright issues.

Despite these cautions, alarm over societal harm, and escalating calls for regulation, the AI race is on. Even while companies, government, and scientists raise concerns, companies continue to integrate AI into mainstream products and services. Below is a sample of what’s been released or announced thus far.

Examples of Early AI Content Generation and Automation Tools in Major Platforms.

Platform Tool Function
Hootsuite OwlyWriter AI Generates social media captions from URLs in different tone or voice, content ideas from prompts, auto recreation of top posts, and calendar events copy.
HubSpot Content Assistant Generate copy for blog posts, landing pages, emails and other content from idea to outline and copy generation.
ChatSpot Conversational bot that automates CRM tasks including status updates, managing leads, finding prospects, generating reports, forecasts, and follow-up drafts.
Salesforce Einstein GPT Auto-generates sales, service, and marketing tasks, content, targeting, messaging, reporting and personalization across channels.
Adobe Firefly Generate images, fill, text effects, and recolor from text prompts plus create content, and templates and edit video with simple text prompts – some inside Creative Suite.
Sensei GenAI Automates tasks, optimizes and generates content and content variations across channels in Adobe’s Experience Cloud marketing platform.
Canva Magic Write Generates copy, outlines, lists, captions, ideas, and drafts from text prompts.
AI Image Generator Generates images from text prompts and various styles and aspect ratios.
Meta AI Sandbox Tools that generate multiple versions of text and backgrounds, plus autocropping creative assets for various ad formats on Facebook and Instagram.
Grammarly GrammarlyGo
Generates writing and revisions relevant to tone, clarity, length, and task via text prompts in documents, emails, messages, and social media.
Microsoft Microsoft 365 Copilot Generates tasks, content, documents, presentations, spreadsheets, emails, reports, summaries, updates across Word, Excel, PowerPoint, Outlook and Teams via text prompts and Business Chat.
Google Google Workspace Bard Generate drafts, replies, summaries in Gmail, drafts, summaries, proofs in Docs, images, audio and video in Slides, auto analysis in Sheets, and notes in Meet.

Do Consumers (Your Customers/Target Audience) Want AI?

Another consideration with artificial intelligence is the value consumers may put on human generated content and transparency in the use of AI. I began this article by saying that 87% of consumers are now aware of AI. In fact, 4 in 5 of them are convinced that it is the future.

Yet knowing something is the future and wanting that future are different things. The same consumer survey reveals that 3 in 5 (60%) are concerned or undecided about that future. What people are most concerned about is that AI will change what it means to be human.

As marketing communications professionals we need to stay up to date with all these technology advancements. We should use the latest tools to improve our profession and results for our business or clients. But we should also ensure that new technology is used responsibly and transparently.

Over 77% of consumers say brands should ensure biases and systems of inequality are not propagated by AI-based applications. Over 70% believe brands should disclose when they use AI to develop products, services, experiences, and content.

You Decide How To Best Use AI.

At its best, AI can help with the mundane, repetitive tasks of social media and digital marketing management. At its best, AI will enable you to focus on higher level strategic thinking. At its best, AI will not replace humans, but enable us to be more human.

It’s been 6 months since generative AI was brought to mainstream awareness. Companies are rushing to integrate this technology into everything they do. While we wait for regulations, laws, and professional standards to catch up, let’s use our own judgment in deciding when, where, and how best to use it.

This Was Human Created Content!