One-Class Learning for AI-Generated Essay Detection Article Swipe
Roberto Corizzo
,
Sebastian Leal-Arenas
·
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.3390/app13137901
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.3390/app13137901
Detection of AI-generated content is a crucially important task considering the increasing attention towards AI tools, such as ChatGPT, and the raised concerns with regard to academic integrity. Existing text classification approaches, including neural-network-based and feature-based methods, are mostly tailored for English data, and they are typically limited to a supervised learning setting. Although one-class learning methods are more suitable for classification tasks, their effectiveness in essay detection is still unknown. In this paper, this gap is explored by adopting linguistic features and one-class learning models for AI-generated essay detection. Detection performance of different models is assessed in different settings, where positively labeled data, i.e., AI-generated essays, are unavailable for model training. Results with two datasets containing essays in L2 English and L2 Spanish show that it is feasible to accurately detect AI-generated essays. The analysis reveals which models and which sets of linguistic features are more powerful than others in the detection task.
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Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.3390/app13137901
- OA Status
- gold
- Cited By
- 13
- References
- 46
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4383376720
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4383376720Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.3390/app13137901Digital Object Identifier
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One-Class Learning for AI-Generated Essay DetectionWork title
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articleOpenAlex work type
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enPrimary language
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2023Year of publication
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2023-07-05Full publication date if available
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Roberto Corizzo, Sebastian Leal-ArenasList of authors in order
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https://doi.org/10.3390/app13137901Publisher landing page
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YesWhether a free full text is available
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goldOpen access status per OpenAlex
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https://doi.org/10.3390/app13137901Direct OA link when available
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Artificial intelligence, Computer science, Task (project management), Class (philosophy), Machine learning, Natural language processing, Engineering, Systems engineeringTop concepts (fields/topics) attached by OpenAlex
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13Total citation count in OpenAlex
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2025: 5, 2024: 7, 2023: 1Per-year citation counts (last 5 years)
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10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.unknown. | 70 |
| abstract_inverted_index.Detection | 0, 90 |
| abstract_inverted_index.attention | 12 |
| abstract_inverted_index.crucially | 6 |
| abstract_inverted_index.detection | 67, 152 |
| abstract_inverted_index.different | 93, 98 |
| abstract_inverted_index.important | 7 |
| abstract_inverted_index.including | 32 |
| abstract_inverted_index.one-class | 54, 83 |
| abstract_inverted_index.settings, | 99 |
| abstract_inverted_index.training. | 111 |
| abstract_inverted_index.typically | 46 |
| abstract_inverted_index.accurately | 130 |
| abstract_inverted_index.containing | 116 |
| abstract_inverted_index.detection. | 89 |
| abstract_inverted_index.increasing | 11 |
| abstract_inverted_index.integrity. | 27 |
| abstract_inverted_index.linguistic | 80, 143 |
| abstract_inverted_index.positively | 101 |
| abstract_inverted_index.supervised | 50 |
| abstract_inverted_index.approaches, | 31 |
| abstract_inverted_index.considering | 9 |
| abstract_inverted_index.performance | 91 |
| abstract_inverted_index.unavailable | 108 |
| abstract_inverted_index.AI-generated | 2, 87, 105, 132 |
| abstract_inverted_index.effectiveness | 64 |
| abstract_inverted_index.feature-based | 35 |
| abstract_inverted_index.classification | 30, 61 |
| abstract_inverted_index.neural-network-based | 33 |
| cited_by_percentile_year.max | 99 |
| cited_by_percentile_year.min | 89 |
| corresponding_author_ids | https://openalex.org/A5092414901, https://openalex.org/A5010914442 |
| countries_distinct_count | 1 |
| institutions_distinct_count | 2 |
| corresponding_institution_ids | https://openalex.org/I170201317, https://openalex.org/I181401687 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/4 |
| sustainable_development_goals[0].score | 0.8600000143051147 |
| sustainable_development_goals[0].display_name | Quality Education |
| citation_normalized_percentile.value | 0.91832947 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | True |