The growing popularity of generative artificial intelligence (AI) chatbots
such as ChatGPT is having transformative effects on social media. As the
prevalence of AI-generated content grows, concerns have been raised regarding
privacy and misinformation online. Among social media platforms, Discord
enables AI integrations -- making their primarily "Generation Z" userbase
particularly exposed to AI-generated content. We surveyed Generation Z aged
individuals (n = 335) to evaluate their proficiency in discriminating between
AI-generated and human-authored text on Discord. The investigation employed
one-shot prompting of ChatGPT, disguised as a text message received on the
Discord.com platform. We explore the influence of demographic factors on
ability, as well as participants' familiarity with Discord and artificial
intelligence technologies. We find that Generation Z individuals are unable to
discern between AI and human-authored text (p = 0.011), and that those with
lower self-reported familiarity with Discord demonstrated an improved ability
in identifying human-authored compared to those with self-reported experience
with AI (p << 0.0001). Our results suggest that there is a nuanced relationship
between AI technology and popular modes of communication for Generation Z,
contributing valuable insights into human-computer interactions, digital
communication, and artificial intelligence literacy.

探讨了社交媒体中生成式人工智能聊天机器人的普及对社交媒体产生的变革性影响，调查了 Generation Z 年龄段的个体对 Discord 上的 AI 生成和人为撰写的文本进行辨别的能力，并发现 Generation Z 个体无法区分 AI 生成和人为构造的文本，与 Discord 的熟悉程度和人工智能技术经验相关。结果表明，AI 技术和流行的通信方式之间存在微妙的关联，对人机交互、数字通信和人工智能素养提供了有价值的洞见。

Generation Z 判别在 Discord 上由 AI 生成与人类创作的文本的能力

Generation Z's Ability to Discriminate Between AI-generated and  Human-Authored Text on Discord

Evaluating change in ranked term importance in a growing corpus is a powerful
tool for understanding changes in vocabulary usage. In this paper, we analyze a
corpus of free-response answers where 33,993 LGBTQ Generation Z respondents
from age 13 to 24 in the United States are asked to self-describe their sexual
orientation. We observe that certain labels, such as bisexual, pansexual, and
lesbian, remain equally important across age groups. The importance of other
labels, such as homosexual, demisexual, and omnisexual, evolve across age
groups. Although Generation Z is often stereotyped as homogenous, we observe
noticeably different label usage when self-describing sexual orientation within
it. We urge that interested parties must routinely survey the most important
sexual orientation labels to their target audience and refresh their materials
(such as demographic surveys) to reflect the constantly evolving LGBTQ
community and create an inclusive environment.

本研究分析了美国年龄在 13 到 24 岁之间、涵盖 33,993 个 LGBTQ 的 Generation Z 自述性取向的文本语料库，研究发现某些标签，如双性恋、泛性恋和女同性恋，在不同的年龄组中保持同样的重要性，而其他标签如同性恋、半性恋和全性恋则随年龄组有所不同，并发现到在这个群体中存在着不同的标签使用率，因此我们敦促各方关注 LGBTQ 用户最重要的性取向标签，并不断更新材料以反映 LGBTQ 社群不断变化的情况并创造一个包容的环境。