Fall 2026

Misinformation, Fake News, and Correcting False Beliefs About Science

LSC 340 explores the spread of misinformation and fake news regarding scientific topics, their societal impacts, and methods for correction.

no offering record for this termCredits unavailable
Recorded instructors · Fall 2026 No instructors listed

Summary

1 / 2

Recent recorded grades — Spring 2024: 3.72 GPA, 84.0% A/AB (n=81 letter grades); Spring 2025: 3.74 GPA, 83.0% A/AB (n=88 letter grades); Spring 2026: 3.83 GPA, 93.0% A/AB (n=115 letter grades).

Grade history

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average GPA
letter grades
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AB
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BC
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F

All recorded terms · compare terms & instructors

Prerequisites

Course map

Satisfied Communications A or graduate/professional standing

  • Satisfied Communications A or graduate/professional standing
LSC 340

This is a best-effort interpretation; check the catalog requirements above.

Prerequisite text tree
  • Satisfied Communications A or graduate/professional standing

Professors

Fall 2026

No instructors recorded for this selection.

Historical instructors & teaching patterns

Recorded history may be incomplete and does not establish a future schedule.

Calendar & sections

Fall 2026

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SectionModeEnrolled / capacityWaitlist

Times are Central. Select a meeting for details; export includes recorded dates for the selected sections.

Meeting source records

No records available.

Student experience

the class

Recent recorded grades — Spring 2024: 3.72 GPA, 84.0% A/AB (n=81 letter grades); Spring 2025: 3.74 GPA, 83.0% A/AB (n=88 letter grades); Spring 2026: 3.83 GPA, 93.0% A/AB (n=115 letter grades).

difficulty & workload

No workload feedback recorded.

Topics

  • Reasons for believing fake news and the role of social media
  • Effects of misinformation on scientific topics
  • Correcting misinformation in science, media, and industry

Skills

  • Applying theoretical ideas to make evidence-based recommendations for correcting misinformation

Grades

Latest available · Spring 2026— not enough history to project Fall 2026.

average GPA
A / AB grades
letter grades
Instructor

Grade distribution · % of letter grades

A
AB
B
BC
C
D
F

Grades over time

Through Spring 2026

More grade details Grade mix, volume & source data

Where this course fits relative to

Latest available grades · Spring 2026 · all course levels

GPA

Higher than % of other courses in this group.

Course GPAs · red marks this course’s range

letter grades

More recorded grades than % of other courses in this group.

Typical course in this group: letter grades.

About this comparison

1283 courses over the same term, each with at least 30 recorded letter grades. Cross-listed courses count once. GPA is not a measure of difficulty or teaching quality. The typical course is the median by recorded grade count; tied values are not counted as lower. Grade counts describe course scale, not unique students or typical section size.

Descriptions compare GPA with this group’s average: at least 0.20 higher or lower; otherwise close to average. Section size uses median recorded enrollment: small up to 30, mid-sized 31–99, large 100+. Lectures and discussion/lab sections are described separately.

Sources & history

UW–Madison

Catalog & offerings

Descriptions, prerequisites, and recorded course offerings.

Catalog observation history

Observations at scan time; dates do not imply when a catalog change took effect.

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Selected offering source records

No offering records for the selected term.

Raw records 
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Student reviews

Original comments behind the course and instructor summaries.

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Madgrades

Grade history

Recorded grade distributions by term, section, and instructor.

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Dataset & model

Recorded 2026-09-07

View the dataset on Hugging Face
Model outputs & technical records
nvidia/Qwen3.6-35B-A3B-NVFP4
LLM outputs across runs
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Full model traces

Recorded model configuration, reasoning, and tool conversations.

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Model & dataset provenance 
{
  "model": "nvidia/Qwen3.6-35B-A3B-NVFP4",
  "model_revision": "1355db6a052410cfd62085d94b58866fd0f2c3c5",
  "task_version": "14",
  "output_id": "5dc5daafaf4997fc2c911a81d5d617540e814ffb2fa9f75026cedde75b445d66",
  "requirements_status": "needs_review",
  "dataset_revision": "e243353dcb7d79b7247ced91d69443ef4c2a6349",
  "observed_at": "2026-09-07 15:55:43.033547+00:00"
}