4. To find articles about AI ethics in universities, which search statement is most effective?

Question

BlackTom AI · Accepted Answer

Question: 4. To find articles about AI ethics in universities, which search statement is most effective?

Option A: A. AI ethics AND university

This option uses AND to connect AI ethics with university. However, it misses the plural form (universities) which can exclude articles that refer to multiple universities or to universities in general. It is also ambiguous about whether 'university' is a keyword present in titles, abstracts, or indexing terms, potentially limiting results.

Option B: B. "AI ethics" AND (university OR universities)

This is the strongest choice. It searches the exact phrase "AI ethics" to ensure the concept is captured as a unit, then uses AND to require a connection to the institution term. The (university OR universities) portion accounts for both singular and plural forms, broadening coverage to articles mentioning either form. This combination reduces false positives (irrelevant uses of AI ethics) and increases recall for university-focused discussions.

Option C: C. AI OR ethics OR university

This is too broad. It would retrieve any article that mentions AI, or ethics, or universities, which yields many irrelevant results (e.g., general AI topics, ethical discussions not related to AI, or articles about universities themselves). It lacks the necessary conjunctions to tie the concepts together, leading to a high noise level.

Option D: D. "AI ethics" NOT colleges

This filters out any results that mention colleges, which would exclude a large portion of relevant university-focused material (since many articles refer to colleges or other higher-education institutions). It also uses NOT in a way that can unnecessarily exclude legitimate sources that mention both AI ethics and a college context.

In summary, option B precisely combines a precise phrase with a flexible institutional term, maximizing relevance and coverage for searches about AI ethics in universities.

4. To find articles about AI ethics in universities, which search statement is most effective?单项选择题

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2. Which Boolean operator is used to broaden a search by including either of two keywords?

2. Which Boolean operator is used to broaden a search by including either of two keywords?

2. Which Boolean operator is used to broaden a search by including either of two keywords?

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Let's say that you are doing a keyword search in OneSearch to find recent articles about marine pollution. Which ONE of the following groups of search words would bring you the largest number of results? Select the BEST answer.

使用图书馆数据库时，建议您学习这些有助于缩小信息范围的搜索词（AND、OR 和 NOT），图书管理员称之为：

When using Library Databases, it is recommended you learn these search terms that help narrow information, (AND, OR, and NOT), which librarians call this:

To combine related key terms (e.g., free-text, controlled vocabulary), we use the Boolean operator _ to __ our search:

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4. To find articles about AI ethics in universities, which search statement is most effective?单项选择题

类似问题

2. Which Boolean operator is used to broaden a search by including either of two keywords?

2. Which Boolean operator is used to broaden a search by including either of two keywords?

2. Which Boolean operator is used to broaden a search by including either of two keywords?

If you are getting too many search results, what can you use to narrow your search?

Let's say that you are doing a keyword search in OneSearch to find recent articles about marine pollution. Which ONE of the following groups of search words would bring you the largest number of results? Select the BEST answer.

使用图书馆数据库时，建议您学习这些有助于缩小信息范围的搜索词（AND、OR 和 NOT），图书管理员称之为：

When using Library Databases, it is recommended you learn these search terms that help narrow information, (AND, OR, and NOT), which librarians call this:

To combine related key terms (e.g., free-text, controlled vocabulary), we use the Boolean operator _________ to __________ our search:

更多留学生实用工具

希望你的学习变得更简单

To combine related key terms (e.g., free-text, controlled vocabulary), we use the Boolean operator _ to __ our search: