{"id":37381,"date":"2024-12-17T09:46:37","date_gmt":"2024-12-17T08:46:37","guid":{"rendered":"https:\/\/market.newsmachine.com\/?p=37381"},"modified":"2025-01-27T11:15:39","modified_gmt":"2025-01-27T10:15:39","slug":"upgrading-your-boolean-game-crafting-your-search-expression","status":"publish","type":"post","link":"https:\/\/market.newsmachine.com\/en\/upgrading-your-boolean-game-crafting-your-search-expression\/","title":{"rendered":"Upgrading Your Boolean Game – Crafting Your Search Expressions for Better Media Monitoring"},"content":{"rendered":"\n


By using Boolean operators effectively, you can customize and refine your searches to obtain highly relevant results in the NewsMachine system for media monitoring. <\/p>\n\n\n\n

To start your media search, use the blocks with operators OR, AND, and NOT, that you will find on the first page when defining your search.<\/p>\n\n\n\n

Search Fields in NewsMachine<\/strong><\/h2>\n\n\n\n

When creating a search agent, fill in one or more of these three fields<\/strong> to refine your search:<\/p>\n\n\n\n

1. \u201cAny of these words\u201d (OR Search):<\/strong><\/p>\n\n\n\n

\u2022 Words entered here will return results that include any<\/strong> of the words.
\u2022 The system automatically applies the OR<\/strong> operator between words.<\/p>\n\n\n\n

Example:<\/strong><\/p>\n\n\n\n

Searching for mentions of cities<\/strong>:<\/p>\n\n\n\n

Stockholm Gothenburg Malm\u00f6 \u2192 interpreted as Stockholm OR Gothenburg OR Malm\u00f6.<\/p>\n\n\n\n

2. \u201cAll of these words\u201d (AND Search):<\/strong><\/p>\n\n\n\n

\u2022 Words entered here must all<\/strong> appear in the results.
\u2022 The system automatically applies the AND<\/strong> operator between words.<\/p>\n\n\n\n

Example:<\/strong><\/p>\n\n\n\n

Searching for climate policy<\/strong> articles that include EU<\/strong>:<\/p>\n\n\n\n

climate EU policy \u2192 interpreted as climate AND EU AND policy.<\/p>\n\n\n\n

3. \u201cNone of these words\u201d (NOT Search):<\/strong><\/p>\n\n\n\n

\u2022 Words entered here will exclude<\/strong> articles containing these words.
\u2022 The system automatically applies the OR<\/strong> operator between words for exclusion.<\/p>\n\n\n\n

Example:<\/strong><\/p>\n\n\n\n

\u2022 If you want articles about Hammarby<\/strong> (a Stockholm district) but not about the football team<\/strong>, enter:
\u2022 \u201cAny of these words\u201d<\/strong>: Hammarby
\u2022 \u201cNone of these words\u201d<\/strong>: football derby match goal Bajen<\/p>\n\n\n\n

Note:<\/strong> Leave unused fields blank.<\/p>\n\n\n\n

Case Sensitivity:<\/strong><\/h2>\n\n\n\n

\u2022 Capitalized words<\/strong>: Return only results matching the exact capitalization.<\/p>\n\n\n\n

Example: Searching for Apple will not include apple.<\/p>\n\n\n\n

\u2022 Lowercase words<\/strong>: Match both uppercase and lowercase versions.<\/p>\n\n\n\n

Example: Searching for apple includes both Apple and apple.<\/p>\n\n\n\n

Practical Examples<\/strong><\/p>\n\n\n\n

Example 1: Excluding Irrelevant Content<\/strong><\/p>\n\n\n\n

\u2022 Goal: Find mentions of the Hammarby district<\/strong> in Stockholm, but exclude mentions of the football team.
\u2022 \u201cAny of these words\u201d<\/strong>: Hammarby
\u2022 \u201cNone of these words\u201d<\/strong>: football goal match derby Bajen<\/p>\n\n\n\n

Example 2: Searching for Car Safety with Specific Brands<\/strong><\/p>\n\n\n\n

\u2022 Goal: Articles about car safety<\/strong> but only for SAAB, Volvo<\/strong>, and Ford<\/strong>, excluding mentions of seatbelts<\/strong>.
\u2022 \u201cAny of these words\u201d<\/strong>: SAAB Volvo Ford
\u2022 \u201cAll of these words\u201d<\/strong>: safety
\u2022 \u201cNone of these words\u201d<\/strong>: seatbelt<\/p>\n\n\n\n

More on Boolean Operators in NewsMachine<\/strong><\/h2>\n\n\n\n

For advanced users, you can also click on Advanced Media Agent <\/strong>for those who have basic programming skills, or Agentstatus<\/strong>, if you have adapted more advanced search expressions using Boolean operators.<\/p>\n\n\n\n

\"\"<\/figure>\n\n\n\n

The Boolean operators OR<\/strong>, AND<\/strong>, NEAR<\/strong>, and SCOPE<\/strong> allow users to refine searches for precise and relevant results within NewsMachine\u2019s media monitoring system.<\/p>\n\n\n\n

1. Operator: OR<\/strong><\/p>\n\n\n\n

Function:<\/strong> Broadens your search. Results will include any<\/strong> of the specified words.<\/p>\n\n\n\n

\u2022 Default Scope:<\/strong> Matches the entire document.
\u2022 Other Options:<\/strong> You can limit the search to Headline<\/em>, Ingress<\/em>, or Sentence<\/em> using the \u201cSearch Scope\u201d<\/strong> command.<\/p>\n\n\n\n

Example:<\/strong><\/p>\n\n\n\n

\u2022 If you want articles mentioning either \u201cStockholm\u201d<\/em> or \u201cGothenburg\u201d<\/em>:<\/p>\n\n\n\n

Stockholm OR Gothenburg<\/p>\n\n\n\n

Alternative Example:<\/strong><\/p>\n\n\n\n

\u2022 For coverage of technology companies like Apple<\/strong> or Microsoft<\/strong>:<\/p>\n\n\n\n

Apple OR Microsoft<\/p>\n\n\n\n

2. Operator: AND<\/strong><\/p>\n\n\n\n

Function:<\/strong> Narrows your search. Results must include all<\/strong> the specified words.<\/p>\n\n\n\n

\u2022 Default Scope:<\/strong> Matches the entire document.
\u2022 Other Options:<\/strong> You can limit the search to Headline<\/em>, Ingress<\/em>, or Sentence<\/em> using the \u201cSearch Scope\u201d<\/strong> command.<\/p>\n\n\n\n

Example:<\/strong><\/p>\n\n\n\n

\u2022 To find articles about climate<\/strong> and policy<\/strong>:<\/p>\n\n\n\n

climate AND policy<\/p>\n\n\n\n

Alternative Example:<\/strong><\/p>\n\n\n\n

\u2022 Searching for articles that mention renewable energy<\/strong> and EU<\/strong>:<\/p>\n\n\n\n

“renewable energy” AND EU<\/p>\n\n\n\n

3. Operator: NEAR<\/strong><\/p>\n\n\n\n

Function:<\/strong> Specifies proximity between words in a document. Results will include both words within a certain number of words of each other.<\/p>\n\n\n\n

\u2022 Syntax:<\/strong> Use NEAR=<number>.
\u2022 This operator is not affected<\/strong> by the \u201cSearch Scope\u201d setting.<\/p>\n\n\n\n

Example:<\/strong><\/p>\n\n\n\n

\u2022 Searching for articles where football<\/strong> appears within 10 words<\/strong> of Stockholm<\/strong>:<\/p>\n\n\n\n

football NEAR=10 Stockholm<\/p>\n\n\n\n

Alternative Example:<\/strong><\/p>\n\n\n\n

\u2022 To find news where AI<\/strong> and ethics<\/strong> are closely discussed:<\/p>\n\n\n\n

AI NEAR=5 ethics<\/p>\n\n\n\n

4. Operator: SCOPE<\/strong><\/p>\n\n\n\n

Function:<\/strong> Restricts the search to a specific section of an article, such as the Title<\/strong>, Ingress<\/strong>, or Title_Ingress<\/strong>.<\/p>\n\n\n\n

\u2022 Syntax:<\/strong> Use SCOPE=”section”.<\/p>\n\n\n\n

Examples:<\/strong><\/p>\n\n\n\n

1. Searching only in Titles:<\/strong><\/p>\n\n\n\n

SCOPE=”TITLE” Company*<\/p>\n\n\n\n

2. Searching in both Titles and Ingress (lead or the first paragraph):<\/strong><\/p>\n\n\n\n

SCOPE=”TITLE_INGRESS” Company*<\/p>\n\n\n\n

3. Searching in Ingress only:<\/strong><\/p>\n\n\n\n

SCOPE=”INGRESS” Acquisition*<\/p>\n\n\n\n

4. Combining with AND:<\/strong><\/p>\n\n\n\n

SCOPE=”TITLE” Company* AND Acquisition*<\/p>\n\n\n\n

Alternative Example:<\/strong><\/p>\n\n\n\n

\u2022 To find mentions of Tesla<\/strong> specifically in headlines:<\/p>\n\n\n\n

SCOPE=”TITLE” Tesla<\/p>\n\n\n\n

<\/p>\n\n\n\n

By using Boolean operators effectively, you can customize and refine your searches to obtain highly relevant results within NewsMachine.<\/p>\n\n\n\n

If you would like additional guidance, please let us know.
Our support staff is standing by to help you optimize your media monitoring support@newsmachine.com<\/a><\/p>\n\n\n\n

<\/p>\n\n\n\n

PS. Boolean logic was discribed in The Laws of Thought, published in 1846 by English mathematician George Booles.<\/p>\n","protected":false},"excerpt":{"rendered":"

By using Boolean operators effectively, you can customize and refine your searches to obtain highly relevant results in the NewsMachine system for media monitoring. To start your media search, use the blocks with operators OR, AND, and NOT, that you will find on the first page when defining your search. Search Fields in NewsMachine When […]<\/p>\n","protected":false},"author":15,"featured_media":37388,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_et_pb_use_builder":"off","_et_pb_old_content":"","_et_gb_content_width":"","footnotes":""},"categories":[322],"tags":[396,366,306,397],"class_list":["post-37381","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-tips-en","tag-boolean-search","tag-media-monitoring","tag-newsmachine-en","tag-search-agent"],"_links":{"self":[{"href":"https:\/\/market.newsmachine.com\/en\/wp-json\/wp\/v2\/posts\/37381","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/market.newsmachine.com\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/market.newsmachine.com\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/market.newsmachine.com\/en\/wp-json\/wp\/v2\/users\/15"}],"replies":[{"embeddable":true,"href":"https:\/\/market.newsmachine.com\/en\/wp-json\/wp\/v2\/comments?post=37381"}],"version-history":[{"count":0,"href":"https:\/\/market.newsmachine.com\/en\/wp-json\/wp\/v2\/posts\/37381\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/market.newsmachine.com\/en\/wp-json\/wp\/v2\/media\/37388"}],"wp:attachment":[{"href":"https:\/\/market.newsmachine.com\/en\/wp-json\/wp\/v2\/media?parent=37381"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/market.newsmachine.com\/en\/wp-json\/wp\/v2\/categories?post=37381"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/market.newsmachine.com\/en\/wp-json\/wp\/v2\/tags?post=37381"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}