| Course | MT358 Social Media Marketing and AI Optimization |
|---|---|
| Unit | Unit 1 |
| Paper type | Discussion board post |
| Length | About 450 words, 2 pages double-spaced |
| Format | APA 7 discussion post |
| School | Purdue University Global |
| Program | BS in Business Administration |
| Updated | October 2026 |
Free sample paper for MT358 Unit 1
The Cardigan No Knitter Could Have Made: An MT358 Unit 1 Discussion Post on a Yarn Studio's Two Mistakes
MT358 · Unit 1 Discussion Board Post
Posted by [Student Name]
The studio and its launch are composite; the community research cited is real.
Initial Post
North Shore Fiber Co., a composite hand-dyed yarn studio in Duluth, launched its Harbor Ice colorway with an Instagram post showing a model in a cabled cardigan, captioned as knit in the studio's yarn. Within an hour, knitters in the comments were pointing out what they saw: cables that merged into the ribbing, a sleeve with no visible seam and a button band with no buttonholes. By my count, most of the 412 comments were about construction; few mentioned AI at all. The image had been generated with an AI tool, and the garment could not exist. My claim is that the deletion, not the image, was the more serious mistake.
The course reading on online communities helps explain why knitters noticed so fast. Muniz and O'Guinn (2001) found that members of a brand community feel a kinship with one another, keep shared customs and feel obliged to look out for fellow members. Knitters read construction the way mechanics read engines. Presenting an image as a knitted garment made a claim that the community could check in seconds, and it did.
About six hours after posting, the studio deleted the post without comment. By then, screenshots were circulating, and within a day they had been posted in the studio's own Ravelry group, where its most loyal customers gather. Kozinets (2002) notes that online communities keep records and discuss them, so a deletion in one place rarely removes anything; it moves the discussion somewhere the brand cannot respond. The silence read as an attempt to hide the mistake rather than own it.
The image showed the studio did not understand knitting; the deletion showed it did not respect knitters.
The studio hired me later as its part-time community manager, partly because of this episode. What would you have posted at hour one instead of deleting?
Reply to Marcus
Marcus, you defended the burger chain's joke post on the grounds that its audience was in on the joke, and the numbers you shared suggest most of them were. I think the difference from my case is expertise. The chain's followers eat burgers, but they cannot inspect how one was made from a photo. Knitters can inspect a cardigan in seconds, which turned the yarn studio's image into a claim they could disprove. Did the chain's audience hold any knowledge it could have turned against the joke, or was there nothing for them to check?
References
Kozinets, R. V. (2002). The field behind the screen: Using netnography for marketing research in online communities. Journal of Marketing Research, 39(1), 61-72. https://doi.org/10.1509/jmkr.39.1.61.18935
Muniz, A. M., Jr., & O'Guinn, T. C. (2001). Brand community. Journal of Consumer Research, 27(4), 412-432. https://doi.org/10.1086/319618
Reading the MT 358 Unit 1 instructions
Unit 1 opens the course with a brand's misstep read from the side of the community that saw it. The prompt asks for a short initial post that names the error, applies the unit reading on online communities and their norms, and closes by asking classmates something. One reply to a classmate follows it. Instructors look for analysis of why this audience reacted as it did, not a retelling of the controversy. Details should be verifiable or clearly identified as composite. Ordinary commenters stay unnamed. A writer with a connection to the brand discloses it, because the connection affects how far the argument can be trusted. The reply should apply a course concept to the classmate's example and give that classmate something to answer.
Inside the MT358 Unit 1 example
This sample opens with what knitters saw in the launch photo, paraphrased and counted rather than quoted. Its thesis sits at the close of the first paragraph: the deletion was the more serious mistake. Paragraph two brings in Muniz and O'Guinn to explain why a craft community could test the caption's claim in seconds. Paragraph three dates the deletion and follows the screenshots into the Ravelry group, using Kozinets to show that online communities keep records. A highlighted line states the contrast between not understanding knitting and not respecting knitters. The writer's job at the studio is disclosed in one sentence. The closing question asks what the studio should have posted at hour one. In the reply, Marcus's burger chain is tested against the same idea of audience expertise.
MT358 Unit 1 rubric: what earns full points
Four things usually carry the marks on a Unit 1 post: a clear claim, use of the unit reading, evidence from the case and engagement with peers. A claim that separates two errors and ranks them gives the grader something to assess, where a summary of the outrage does not. The reading has to do work, explaining the audience's response rather than decorating the post. Evidence counts most when it is specific, such as the three construction faults and the comment count. Disclosure of the writer's role is a small point that signals judgment. Replies earn credit for applying a concept to the classmate's case. A question that a classmate can answer from their own example keeps the thread going. APA 7 citations and a length near 420 words round out the marks.
MT358 Unit 1 help: mistakes that cost points
Many first posts on brand missteps blame AI in general terms and never reach the specific community. That drifts away from the unit, which is about how an audience with its own knowledge and norms reads a brand. Another weak pattern merges the image and the deletion into one error, losing the most interesting argument. Students also quote long comment threads where a count and a paraphrase would be stronger. Some replies simply agree with the classmate. Before you post, write one sentence saying what this audience could see that others could not, and one saying which of the brand's choices made it worse. If both sentences are about the community rather than the technology, the draft is on track.
Get an MT358 Unit 1 example written to your instructions
Which brand misstep does the Unit 1 assignment ask you to discuss, if it names one at all? Send the case, the rubric and a sentence about what the community involved cares about. From that, a free first post and reply are written within 24-48h, anchored in what that community could see and the brand did not. The paper above is an original model document written by our desk, not a submitted student paper and not an official Purdue University Global document.
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MT358 Unit 1 questions, answered
Can the post discuss a brand misstep I only saw online?
Yes, and most do. Rely on what can be verified, such as the brand's own posts, statements and widely reported responses, and say when a detail comes from screenshots rather than the original. Avoid naming ordinary commenters. The analysis matters more than insider knowledge: why this audience reacted as it did, and what the brand misunderstood about it.
Should I criticize the use of AI tools in general?
Only if the prompt asks for it. A sharper post identifies what specifically went wrong in this case, such as a claim the audience could check, a missing disclosure or a response that made things worse. General arguments about AI tend to drift away from the community and the brand, which is where the unit's criteria focus.
Does the reply need its own source?
Many sections expect at least one, or a reference to the course reading. A reply that applies a concept from the unit to a classmate's example usually earns more than one that adds opinion. Keep it shorter than the original post, and end with a question that gives the classmate something to answer in turn.
Where can I find a free MT358 Unit 1 sample paper?
The full MT358 Unit 1 discussion post and reply are on this page, arguing that a yarn studio's silent deletion did more damage than its AI-made cardigan photo.
Why does the MT358 Unit 1 sample rank the deletion above the image?
Knitters could check the image in seconds, so it was an honest if careless mistake; deleting it without comment turned that mistake into what looked like concealment.